Overview

Brought to you by YData

Dataset statistics

Number of variables41
Number of observations11026
Missing cells27667
Missing cells (%)6.1%
Duplicate rows9
Duplicate rows (%)0.1%
Total size in memory5.0 MiB
Average record size in memory476.4 B

Variable types

Numeric38
Categorical3

Alerts

Dataset has 9 (0.1%) duplicate rowsDuplicates
&%)LTaWRb is highly overall correlated with .6AvGp and 1 other fieldsHigh correlation
r1Ng is highly overall correlated with r2Ng and 2 other fieldsHigh correlation
r2Ng is highly overall correlated with r1Ng and 2 other fieldsHigh correlation
T\! is highly overall correlated with .6AvGpHigh correlation
fPqsI is highly overall correlated with .6AvGpHigh correlation
ZVf is highly overall correlated with &%)LTaWRb and 1 other fieldsHigh correlation
v0rt3X is highly overall correlated with r1Ng and 2 other fieldsHigh correlation
b1oRb13 is highly overall correlated with b2oRb13High correlation
v1rt3X is highly overall correlated with r1Ng and 2 other fieldsHigh correlation
.6AvGp is highly overall correlated with &%)LTaWRb and 2 other fieldsHigh correlation
b2oRb13 is highly overall correlated with b1oRb13High correlation
Z~x0 has 938 (8.5%) missing values Missing
vzo." has 894 (8.1%) missing values Missing
hp! has 918 (8.3%) missing values Missing
>?64: has 859 (7.8%) missing values Missing
@wnsk>R has 855 (7.8%) missing values Missing
U"r has 909 (8.2%) missing values Missing
&%)LTaWRb has 883 (8.0%) missing values Missing
r1Ng has 893 (8.1%) missing values Missing
TSWm has 891 (8.1%) missing values Missing
r2Ng has 914 (8.3%) missing values Missing
@V9 has 857 (7.8%) missing values Missing
T\! has 868 (7.9%) missing values Missing
.o has 892 (8.1%) missing values Missing
~7* has 881 (8.0%) missing values Missing
9Z/5)2 has 866 (7.9%) missing values Missing
%IiL7w has 868 (7.9%) missing values Missing
!;@Jw has 925 (8.4%) missing values Missing
i]7V has 859 (7.8%) missing values Missing
;<" has 812 (7.4%) missing values Missing
w-u:jN'qI has 844 (7.7%) missing values Missing
PZ8 has 899 (8.2%) missing values Missing
jNhEum has 886 (8.0%) missing values Missing
]xq has 851 (7.7%) missing values Missing
v0rt3X has 865 (7.8%) missing values Missing
^%a; has 885 (8.0%) missing values Missing
b1oRb13 has 900 (8.2%) missing values Missing
v1rt3X has 849 (7.7%) missing values Missing
0HU2N='U has 887 (8.0%) missing values Missing
ZrK has 875 (7.9%) missing values Missing
.6AvGp has 831 (7.5%) missing values Missing
b2oRb13 has 865 (7.8%) missing values Missing

Reproduction

Analysis started2025-08-29 15:51:07.992570
Analysis finished2025-08-29 15:51:33.576359
Duration25.58 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Distinct8682
Distinct (%)86.1%
Missing938
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean0.49919182
Minimum4.7786092 × 10-6
Maximum0.9999397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size172.3 KiB

Quantile statistics

Minimum4.7786092 × 10-6
5-th percentile0.054621242
Q10.25244612
median0.49929431
Q30.74627427
95-th percentile0.94701734
Maximum0.9999397
Range0.99993492
Interquartile range (IQR)0.49382814

Descriptive statistics

Standard deviation0.2864602
Coefficient of variation (CV)0.57384795
Kurtosis-1.1800507
Mean0.49919182
Median Absolute Deviation (MAD)0.24697283
Skewness0.00268437
Sum5035.8471
Variance0.082059448
MonotonicityNot monotonic
ValueCountFrequency (%)
0.5752437724 2
 
< 0.1%
0.8367482514 2
 
< 0.1%
0.1419669758 2
 
< 0.1%
0.9177264051 2
 
< 0.1%
0.2854589788 2
 
< 0.1%
0.7557103759 2
 
< 0.1%
0.142529906 2
 
< 0.1%
0.284827078 2
 
< 0.1%
0.7803761236 2
 
< 0.1%
0.4943702955 2
 
< 0.1%
Other values (8672) 10068
91.3%
(Missing) 938
 
8.5%
ValueCountFrequency (%)
4.778609163 × 10-61
< 0.1%
5.245336622 × 10-51
< 0.1%
9.756956193 × 10-51
< 0.1%
0.0001467217473 2
< 0.1%
0.0002195366251 2
< 0.1%
0.000315281225 1
< 0.1%
0.0003517683736 1
< 0.1%
0.0004360143072 1
< 0.1%
0.0004436161033 1
< 0.1%
0.0007050118362 1
< 0.1%
ValueCountFrequency (%)
0.999939696 1
< 0.1%
0.9998851972 1
< 0.1%
0.9998413005 2
< 0.1%
0.9998406751 1
< 0.1%
0.9997176733 1
< 0.1%
0.9995399762 1
< 0.1%
0.999450523 1
< 0.1%
0.9993354855 1
< 0.1%
0.9989823929 1
< 0.1%
0.9989726623 1
< 0.1%

vzo."
Real number (ℝ)

Missing 

Distinct8714
Distinct (%)86.0%
Missing894
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.00055988701
Minimum-3.4406766
Maximum3.4643188
Zeros0
Zeros (%)0.0%
Negative5043
Negative (%)45.7%
Memory size172.3 KiB
2025-08-29T15:51:33.985157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.4406766
5-th percentile-1.6501104
Q1-0.66379693
median0.0058620363
Q30.67314478
95-th percentile1.6370536
Maximum3.4643188
Range6.9049954
Interquartile range (IQR)1.3369417

Descriptive statistics

Standard deviation0.99747127
Coefficient of variation (CV)1781.5582
Kurtosis0.047744298
Mean0.00055988701
Median Absolute Deviation (MAD)0.6690269
Skewness-0.02690963
Sum5.6727752
Variance0.99494893
MonotonicityNot monotonic
2025-08-29T15:51:34.132900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.513433417 2
 
< 0.1%
1.134695081 2
 
< 0.1%
1.018221894 2
 
< 0.1%
0.03002975286 2
 
< 0.1%
-0.1727002231 2
 
< 0.1%
-0.3663924901 2
 
< 0.1%
-0.6975340259 2
 
< 0.1%
-0.6003856929 2
 
< 0.1%
0.5027171875 2
 
< 0.1%
0.1977154474 2
 
< 0.1%
Other values (8704) 10112
91.7%
(Missing) 894
 
8.1%
ValueCountFrequency (%)
-3.440676632 1
< 0.1%
-3.354490721 1
< 0.1%
-3.35366001 1
< 0.1%
-3.339305478 1
< 0.1%
-3.250333476 1
< 0.1%
-3.217200689 2
< 0.1%
-3.19889768 1
< 0.1%
-3.161131657 1
< 0.1%
-3.15498896 2
< 0.1%
-3.149362641 1
< 0.1%
ValueCountFrequency (%)
3.464318818 1
< 0.1%
3.456908131 1
< 0.1%
3.359605795 1
< 0.1%
3.269906737 1
< 0.1%
3.267345151 1
< 0.1%
3.205578303 2
< 0.1%
3.128577124 1
< 0.1%
3.023959884 1
< 0.1%
3.01068246 2
< 0.1%
2.980778749 1
< 0.1%

A>.
Real number (ℝ)

Distinct9283
Distinct (%)84.8%
Missing85
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean0.50244242
Minimum1.1634755 × 10-5
Maximum0.99995695
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size172.3 KiB
2025-08-29T15:51:34.278373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.1634755 × 10-5
5-th percentile0.049798649
Q10.25426851
median0.50507424
Q30.75278363
95-th percentile0.9515955
Maximum0.99995695
Range0.99994532
Interquartile range (IQR)0.49851511

Descriptive statistics

Standard deviation0.28879076
Coefficient of variation (CV)0.57477384
Kurtosis-1.1941257
Mean0.50244242
Median Absolute Deviation (MAD)0.24926089
Skewness-0.013813927
Sum5497.2225
Variance0.083400101
MonotonicityNot monotonic
2025-08-29T15:51:34.425039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4794060958 2
 
< 0.1%
0.5108335732 2
 
< 0.1%
0.6943948787 2
 
< 0.1%
0.08370718168 2
 
< 0.1%
0.5564893826 2
 
< 0.1%
0.0797825025 2
 
< 0.1%
0.3175673972 2
 
< 0.1%
0.001331270948 2
 
< 0.1%
0.1026469844 2
 
< 0.1%
0.3184328974 2
 
< 0.1%
Other values (9273) 10921
99.0%
(Missing) 85
 
0.8%
ValueCountFrequency (%)
1.163475537 × 10-51
< 0.1%
0.0001009159506 1
< 0.1%
0.000309731915 1
< 0.1%
0.0005740116675 1
< 0.1%
0.0006893279904 1
< 0.1%
0.0008981586778 1
< 0.1%
0.0009058352461 2
< 0.1%
0.001012229737 1
< 0.1%
0.001304680474 1
< 0.1%
0.001331270948 2
< 0.1%
ValueCountFrequency (%)
0.9999569544 1
< 0.1%
0.9993753548 1
< 0.1%
0.9993354855 1
< 0.1%
0.9993298632 1
< 0.1%
0.9989759791 1
< 0.1%
0.9989337371 1
< 0.1%
0.9989289091 2
< 0.1%
0.9989208372 1
< 0.1%
0.998892612 1
< 0.1%
0.9986288529 1
< 0.1%

hp!
Real number (ℝ)

Missing 

Distinct8685
Distinct (%)85.9%
Missing918
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean-0.0085892801
Minimum-3.6352002
Maximum3.7321065
Zeros0
Zeros (%)0.0%
Negative5078
Negative (%)46.1%
Memory size172.3 KiB
2025-08-29T15:51:34.569153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.6352002
5-th percentile-1.6280259
Q1-0.67828662
median-0.0062280728
Q30.66016141
95-th percentile1.6179568
Maximum3.7321065
Range7.3673067
Interquartile range (IQR)1.338448

Descriptive statistics

Standard deviation0.99990577
Coefficient of variation (CV)-116.41322
Kurtosis0.043495979
Mean-0.0085892801
Median Absolute Deviation (MAD)0.66976803
Skewness-0.010066642
Sum-86.820444
Variance0.99981154
MonotonicityNot monotonic
2025-08-29T15:51:34.735911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1982915438 2
 
< 0.1%
-0.5553723627 2
 
< 0.1%
-1.639326419 2
 
< 0.1%
0.9645860729 2
 
< 0.1%
0.3924786007 2
 
< 0.1%
0.06416231836 2
 
< 0.1%
-2.105646942 2
 
< 0.1%
2.256897153 2
 
< 0.1%
1.753177284 2
 
< 0.1%
-0.1850485219 2
 
< 0.1%
Other values (8675) 10088
91.5%
(Missing) 918
 
8.3%
ValueCountFrequency (%)
-3.635200228 1
< 0.1%
-3.59425754 1
< 0.1%
-3.475037384 1
< 0.1%
-3.463431404 1
< 0.1%
-3.339356663 1
< 0.1%
-3.278558903 1
< 0.1%
-3.124586603 1
< 0.1%
-3.096833719 2
< 0.1%
-3.09417025 1
< 0.1%
-3.08609625 1
< 0.1%
ValueCountFrequency (%)
3.732106487 1
< 0.1%
3.619985951 1
< 0.1%
3.33526819 1
< 0.1%
3.228615497 1
< 0.1%
3.183067887 2
< 0.1%
3.172246813 1
< 0.1%
3.152056735 1
< 0.1%
3.137748534 1
< 0.1%
3.056954269 1
< 0.1%
3.026266173 1
< 0.1%

>?64:
Real number (ℝ)

Missing 

Distinct8730
Distinct (%)85.9%
Missing859
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean0.49970661
Minimum2.624196 × 10-5
Maximum0.99988215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size172.3 KiB
2025-08-29T15:51:34.887055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.624196 × 10-5
5-th percentile0.052013681
Q10.24594431
median0.50135099
Q30.75072736
95-th percentile0.95055501
Maximum0.99988215
Range0.99985591
Interquartile range (IQR)0.50478305

Descriptive statistics

Standard deviation0.28854374
Coefficient of variation (CV)0.5774263
Kurtosis-1.2034605
Mean0.49970661
Median Absolute Deviation (MAD)0.25207382
Skewness0.0048221547
Sum5080.5171
Variance0.08325749
MonotonicityNot monotonic
2025-08-29T15:51:35.044195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3742127957 2
 
< 0.1%
0.2210895776 2
 
< 0.1%
0.4952398766 2
 
< 0.1%
0.544018438 2
 
< 0.1%
0.8954827553 2
 
< 0.1%
0.7279714221 2
 
< 0.1%
0.11654461 2
 
< 0.1%
0.4484006254 2
 
< 0.1%
0.4306490223 2
 
< 0.1%
0.4892139323 2
 
< 0.1%
Other values (8720) 10147
92.0%
(Missing) 859
 
7.8%
ValueCountFrequency (%)
2.624195978 × 10-52
< 0.1%
0.0002163967719 1
< 0.1%
0.0002672379009 1
< 0.1%
0.0002701223567 2
< 0.1%
0.0004825826977 1
< 0.1%
0.0005278436858 2
< 0.1%
0.0005392141829 2
< 0.1%
0.0005649492066 1
< 0.1%
0.0009039656833 1
< 0.1%
0.0009801471619 2
< 0.1%
ValueCountFrequency (%)
0.9998821538 1
< 0.1%
0.9998714383 1
< 0.1%
0.9998313187 1
< 0.1%
0.999752231 2
< 0.1%
0.9997388726 1
< 0.1%
0.9994563969 1
< 0.1%
0.999399409 2
< 0.1%
0.9993351228 2
< 0.1%
0.9993214067 1
< 0.1%
0.9991763838 1
< 0.1%

@wnsk>R
Real number (ℝ)

Missing 

Distinct8734
Distinct (%)85.9%
Missing855
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean0.0066278049
Minimum-3.8563753
Maximum3.8527315
Zeros0
Zeros (%)0.0%
Negative5080
Negative (%)46.1%
Memory size172.3 KiB
2025-08-29T15:51:35.198599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.8563753
5-th percentile-1.6117541
Q1-0.67682278
median0.0025040614
Q30.69087286
95-th percentile1.658121
Maximum3.8527315
Range7.7091068
Interquartile range (IQR)1.3676956

Descriptive statistics

Standard deviation0.99628137
Coefficient of variation (CV)150.31845
Kurtosis-0.094869422
Mean0.0066278049
Median Absolute Deviation (MAD)0.68436879
Skewness0.0049960875
Sum67.411404
Variance0.99257657
MonotonicityNot monotonic
2025-08-29T15:51:35.355949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.501012936 2
 
< 0.1%
-0.810252437 2
 
< 0.1%
-0.724001723 2
 
< 0.1%
-1.399073714 2
 
< 0.1%
-0.1257415645 2
 
< 0.1%
-1.245051224 2
 
< 0.1%
-1.357690535 2
 
< 0.1%
0.01750162395 2
 
< 0.1%
-0.4032877919 2
 
< 0.1%
0.9741257949 2
 
< 0.1%
Other values (8724) 10151
92.1%
(Missing) 855
 
7.8%
ValueCountFrequency (%)
-3.856375329 1
< 0.1%
-3.655086515 1
< 0.1%
-3.464809147 1
< 0.1%
-3.408274589 1
< 0.1%
-3.335901549 2
< 0.1%
-3.250333476 1
< 0.1%
-3.225306189 1
< 0.1%
-3.195941777 1
< 0.1%
-3.176703813 1
< 0.1%
-3.122144653 2
< 0.1%
ValueCountFrequency (%)
3.852731491 1
< 0.1%
3.707905199 1
< 0.1%
3.040686954 1
< 0.1%
2.980778749 1
< 0.1%
2.913877557 1
< 0.1%
2.902650262 1
< 0.1%
2.886753822 1
< 0.1%
2.881597808 2
< 0.1%
2.871475377 1
< 0.1%
2.853145337 2
< 0.1%

U"r
Real number (ℝ)

Missing 

Distinct8689
Distinct (%)85.9%
Missing909
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.50126992
Minimum9.7900695 × 10-5
Maximum0.99997597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size172.3 KiB
2025-08-29T15:51:35.513725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9.7900695 × 10-5
5-th percentile0.046627352
Q10.25260234
median0.50330607
Q30.75333967
95-th percentile0.94959339
Maximum0.99997597
Range0.99987807
Interquartile range (IQR)0.50073733

Descriptive statistics

Standard deviation0.29013983
Coefficient of variation (CV)0.57880958
Kurtosis-1.2045988
Mean0.50126992
Median Absolute Deviation (MAD)0.25059821
Skewness-0.018787168
Sum5071.3478
Variance0.08418112
MonotonicityNot monotonic
2025-08-29T15:51:35.659382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4841374489 2
 
< 0.1%
0.1251090868 2
 
< 0.1%
0.8855721979 2
 
< 0.1%
0.6975196306 2
 
< 0.1%
0.2868220451 2
 
< 0.1%
0.06606388617 2
 
< 0.1%
0.01389599948 2
 
< 0.1%
0.8002896276 2
 
< 0.1%
0.7640555899 2
 
< 0.1%
0.03281431662 2
 
< 0.1%
Other values (8679) 10097
91.6%
(Missing) 909
 
8.2%
ValueCountFrequency (%)
9.790069514 × 10-51
< 0.1%
0.0003086078078 2
< 0.1%
0.0004744192384 1
< 0.1%
0.0004905421707 1
< 0.1%
0.0005559308862 1
< 0.1%
0.0005979388348 1
< 0.1%
0.0006224705652 1
< 0.1%
0.00071442282 1
< 0.1%
0.0008436551021 1
< 0.1%
0.0008605677854 1
< 0.1%
ValueCountFrequency (%)
0.9999759742 2
< 0.1%
0.9998625611 1
< 0.1%
0.9998128764 1
< 0.1%
0.9995323318 1
< 0.1%
0.9994361569 1
< 0.1%
0.999009516 2
< 0.1%
0.9989300021 1
< 0.1%
0.9983570152 1
< 0.1%
0.9982686665 1
< 0.1%
0.9981978793 1
< 0.1%

&%)LTaWRb
Real number (ℝ)

High correlation  Missing 

Distinct8704
Distinct (%)85.8%
Missing883
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean-0.028084881
Minimum-3.4103515
Maximum4.080342
Zeros0
Zeros (%)0.0%
Negative5767
Negative (%)52.3%
Memory size172.3 KiB
2025-08-29T15:51:35.814883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.4103515
5-th percentile-1.2738362
Q1-0.48767122
median-0.10807621
Q30.372908
95-th percentile1.4298636
Maximum4.080342
Range7.4906935
Interquartile range (IQR)0.86057921

Descriptive statistics

Standard deviation0.80880963
Coefficient of variation (CV)-28.798756
Kurtosis1.7236618
Mean-0.028084881
Median Absolute Deviation (MAD)0.42146544
Skewness0.57299242
Sum-284.86495
Variance0.65417302
MonotonicityNot monotonic
2025-08-29T15:51:35.956602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.3159694691 2
 
< 0.1%
0.1950334182 2
 
< 0.1%
-0.1415858798 2
 
< 0.1%
-0.1304897782 2
 
< 0.1%
-0.4655014586 2
 
< 0.1%
-0.1633077807 2
 
< 0.1%
-0.1765180542 2
 
< 0.1%
0.3294076624 2
 
< 0.1%
0.1501212206 2
 
< 0.1%
-1.686315556 2
 
< 0.1%
Other values (8694) 10123
91.8%
(Missing) 883
 
8.0%
ValueCountFrequency (%)
-3.410351508 1
< 0.1%
-3.192626185 1
< 0.1%
-3.170527567 1
< 0.1%
-3.155338616 1
< 0.1%
-2.710838506 1
< 0.1%
-2.642967993 1
< 0.1%
-2.632824129 1
< 0.1%
-2.625410679 2
< 0.1%
-2.619524133 2
< 0.1%
-2.553779388 1
< 0.1%
ValueCountFrequency (%)
4.080342 2
< 0.1%
3.875140327 1
< 0.1%
3.766146488 1
< 0.1%
3.757739796 1
< 0.1%
3.663542598 2
< 0.1%
3.588422765 1
< 0.1%
3.585206588 1
< 0.1%
3.578317963 1
< 0.1%
3.476343805 1
< 0.1%
3.462818411 1
< 0.1%

r1Ng
Real number (ℝ)

High correlation  Missing 

Distinct8706
Distinct (%)85.9%
Missing893
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.0020204498
Minimum-1.3129198
Maximum1.2967716
Zeros0
Zeros (%)0.0%
Negative5065
Negative (%)45.9%
Memory size172.3 KiB
2025-08-29T15:51:36.098361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.3129198
5-th percentile-0.934944
Q1-0.49938395
median6.8579587 × 10-5
Q30.50160358
95-th percentile0.9416451
Maximum1.2967716
Range2.6096914
Interquartile range (IQR)1.0009875

Descriptive statistics

Standard deviation0.58856012
Coefficient of variation (CV)291.30153
Kurtosis-1.0987076
Mean0.0020204498
Median Absolute Deviation (MAD)0.50041761
Skewness0.0043352723
Sum20.473218
Variance0.34640301
MonotonicityNot monotonic
2025-08-29T15:51:36.255986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4027453667 2
 
< 0.1%
-0.5572020488 2
 
< 0.1%
0.2883285139 2
 
< 0.1%
-0.4197408705 2
 
< 0.1%
-0.2116389731 2
 
< 0.1%
-0.01564913699 2
 
< 0.1%
0.4228912244 2
 
< 0.1%
-0.359898438 2
 
< 0.1%
-0.2492937415 2
 
< 0.1%
0.8235539994 2
 
< 0.1%
Other values (8696) 10113
91.7%
(Missing) 893
 
8.1%
ValueCountFrequency (%)
-1.312919756 1
< 0.1%
-1.246391722 2
< 0.1%
-1.244046289 1
< 0.1%
-1.23329905 1
< 0.1%
-1.215922049 1
< 0.1%
-1.206788432 1
< 0.1%
-1.202413716 1
< 0.1%
-1.200417862 1
< 0.1%
-1.193567257 1
< 0.1%
-1.189873921 1
< 0.1%
ValueCountFrequency (%)
1.296771634 1
< 0.1%
1.294536258 2
< 0.1%
1.275111278 1
< 0.1%
1.265216745 1
< 0.1%
1.246485371 1
< 0.1%
1.24098975 2
< 0.1%
1.205565045 1
< 0.1%
1.204269817 1
< 0.1%
1.203621326 2
< 0.1%
1.194781849 1
< 0.1%

TSWm
Real number (ℝ)

Missing 

Distinct8680
Distinct (%)85.6%
Missing891
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.49861762
Minimum9.6370665 × 10-5
Maximum0.99992483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size172.3 KiB
2025-08-29T15:51:36.668226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9.6370665 × 10-5
5-th percentile0.046455541
Q10.24764476
median0.50067454
Q30.74687817
95-th percentile0.94824952
Maximum0.99992483
Range0.99982846
Interquartile range (IQR)0.49923341

Descriptive statistics

Standard deviation0.28848227
Coefficient of variation (CV)0.57856414
Kurtosis-1.1948632
Mean0.49861762
Median Absolute Deviation (MAD)0.24993658
Skewness-0.0028727882
Sum5053.4896
Variance0.083222023
MonotonicityNot monotonic
2025-08-29T15:51:36.826947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7452184772 2
 
< 0.1%
0.0512642276 2
 
< 0.1%
0.4300927195 2
 
< 0.1%
0.1236567383 2
 
< 0.1%
0.3292673093 2
 
< 0.1%
0.4545574657 2
 
< 0.1%
0.1909040211 2
 
< 0.1%
0.4968066104 2
 
< 0.1%
0.9451313279 2
 
< 0.1%
0.6418243617 2
 
< 0.1%
Other values (8670) 10115
91.7%
(Missing) 891
 
8.1%
ValueCountFrequency (%)
9.637066528 × 10-51
< 0.1%
0.000171255368 1
< 0.1%
0.0003110125288 2
< 0.1%
0.0004959456261 1
< 0.1%
0.0005566725863 1
< 0.1%
0.0009675660234 1
< 0.1%
0.00102713357 1
< 0.1%
0.001075754 1
< 0.1%
0.001090759115 1
< 0.1%
0.001121063454 1
< 0.1%
ValueCountFrequency (%)
0.9999248268 1
< 0.1%
0.9998905646 2
< 0.1%
0.9998820874 1
< 0.1%
0.99985847 1
< 0.1%
0.999717723 1
< 0.1%
0.9995051897 1
< 0.1%
0.9993491268 1
< 0.1%
0.9987709018 1
< 0.1%
0.9987296497 2
< 0.1%
0.9984292464 1
< 0.1%

r2Ng
Real number (ℝ)

High correlation  Missing 

Distinct8679
Distinct (%)85.8%
Missing914
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean-0.01082948
Minimum-1.2633936
Maximum1.2456119
Zeros0
Zeros (%)0.0%
Negative5134
Negative (%)46.6%
Memory size172.3 KiB
2025-08-29T15:51:36.968007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.2633936
5-th percentile-0.93616947
Q1-0.50961617
median-0.018140696
Q30.49027947
95-th percentile0.92884522
Maximum1.2456119
Range2.5090055
Interquartile range (IQR)0.99989564

Descriptive statistics

Standard deviation0.58525153
Coefficient of variation (CV)-54.042443
Kurtosis-1.1041163
Mean-0.01082948
Median Absolute Deviation (MAD)0.501316
Skewness0.011819885
Sum-109.5077
Variance0.34251936
MonotonicityNot monotonic
2025-08-29T15:51:37.111122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2703081618 2
 
< 0.1%
-0.6580092014 2
 
< 0.1%
0.8686375924 2
 
< 0.1%
-0.6532092776 2
 
< 0.1%
0.4856469615 2
 
< 0.1%
-0.4592798367 2
 
< 0.1%
-0.4584942111 2
 
< 0.1%
0.9884648166 2
 
< 0.1%
-0.7477156914 2
 
< 0.1%
0.1552325404 2
 
< 0.1%
Other values (8669) 10092
91.5%
(Missing) 914
 
8.3%
ValueCountFrequency (%)
-1.263393582 1
< 0.1%
-1.225180468 1
< 0.1%
-1.22112414 1
< 0.1%
-1.21811974 1
< 0.1%
-1.216173176 2
< 0.1%
-1.209864975 1
< 0.1%
-1.209003399 2
< 0.1%
-1.19956042 1
< 0.1%
-1.196686542 1
< 0.1%
-1.189874699 1
< 0.1%
ValueCountFrequency (%)
1.245611916 1
< 0.1%
1.24482958 2
< 0.1%
1.221143873 1
< 0.1%
1.219882689 1
< 0.1%
1.213625462 1
< 0.1%
1.213185391 2
< 0.1%
1.205659323 1
< 0.1%
1.201969743 1
< 0.1%
1.201433107 1
< 0.1%
1.194897537 1
< 0.1%

maT_r
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size692.9 KiB
corro
2180 
sfer
1887 
corroyi
1816 
satik cyst
1801 
black corru
1073 
Other values (4)
2269 

Length

Max length12
Median length10
Mean length7.3465445
Min length4

Characters and Unicode

Total characters81003
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowcorro
2nd rowcorro
3rd rowsatik cyst
4th rowcorro
5th rowcorroyi

Common Values

ValueCountFrequency (%)
corro 2180
19.8%
sfer 1887
17.1%
corroyi 1816
16.5%
satik cyst 1801
16.3%
black corru 1073
9.7%
MISSING 882
8.0%
corruskivi 702
 
6.4%
corrutir 346
 
3.1%
corrutir vel 339
 
3.1%

Length

2025-08-29T15:51:37.247145image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-29T15:51:37.371322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
corro 2180
15.3%
sfer 1887
13.3%
corroyi 1816
12.8%
satik 1801
12.6%
cyst 1801
12.6%
black 1073
7.5%
corru 1073
7.5%
missing 882
6.2%
corruskivi 702
 
4.9%
corrutir 685
 
4.8%

Most occurring characters

ValueCountFrequency (%)
r 15484
19.1%
o 10452
12.9%
c 9330
11.5%
s 6191
 
7.6%
i 5706
 
7.0%
t 4287
 
5.3%
y 3617
 
4.5%
k 3576
 
4.4%
3213
 
4.0%
a 2874
 
3.5%
Other values (11) 16273
20.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 81003
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
r 15484
19.1%
o 10452
12.9%
c 9330
11.5%
s 6191
 
7.6%
i 5706
 
7.0%
t 4287
 
5.3%
y 3617
 
4.5%
k 3576
 
4.4%
3213
 
4.0%
a 2874
 
3.5%
Other values (11) 16273
20.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 81003
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
r 15484
19.1%
o 10452
12.9%
c 9330
11.5%
s 6191
 
7.6%
i 5706
 
7.0%
t 4287
 
5.3%
y 3617
 
4.5%
k 3576
 
4.4%
3213
 
4.0%
a 2874
 
3.5%
Other values (11) 16273
20.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 81003
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
r 15484
19.1%
o 10452
12.9%
c 9330
11.5%
s 6191
 
7.6%
i 5706
 
7.0%
t 4287
 
5.3%
y 3617
 
4.5%
k 3576
 
4.4%
3213
 
4.0%
a 2874
 
3.5%
Other values (11) 16273
20.1%

@V9
Real number (ℝ)

Missing 

Distinct8716
Distinct (%)85.7%
Missing857
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean-0.014517818
Minimum-3.70515
Maximum3.7661801
Zeros0
Zeros (%)0.0%
Negative5157
Negative (%)46.8%
Memory size172.3 KiB
2025-08-29T15:51:37.540886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.70515
5-th percentile-1.6581879
Q1-0.69092381
median-0.017826352
Q30.65426755
95-th percentile1.6193702
Maximum3.7661801
Range7.4713301
Interquartile range (IQR)1.3451914

Descriptive statistics

Standard deviation0.99816235
Coefficient of variation (CV)-68.754295
Kurtosis0.081166238
Mean-0.014517818
Median Absolute Deviation (MAD)0.67228928
Skewness0.032117613
Sum-147.63169
Variance0.99632807
MonotonicityNot monotonic
2025-08-29T15:51:37.691898image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.564632857 2
 
< 0.1%
1.322256644 2
 
< 0.1%
0.9369419724 2
 
< 0.1%
0.7210183869 2
 
< 0.1%
1.26387164 2
 
< 0.1%
-0.5217278553 2
 
< 0.1%
0.9532016636 2
 
< 0.1%
-0.139308591 2
 
< 0.1%
-0.5844512352 2
 
< 0.1%
-0.9543681186 2
 
< 0.1%
Other values (8706) 10149
92.0%
(Missing) 857
 
7.8%
ValueCountFrequency (%)
-3.705150008 2
< 0.1%
-3.58935522 1
< 0.1%
-3.587376938 1
< 0.1%
-3.504139506 1
< 0.1%
-3.395480066 1
< 0.1%
-3.336275435 1
< 0.1%
-3.314174433 1
< 0.1%
-3.242538376 1
< 0.1%
-3.183043266 1
< 0.1%
-3.151305663 1
< 0.1%
ValueCountFrequency (%)
3.766180076 1
< 0.1%
3.694540312 1
< 0.1%
3.644305519 2
< 0.1%
3.428910478 2
< 0.1%
3.276549098 1
< 0.1%
3.196613551 1
< 0.1%
3.182178679 1
< 0.1%
3.109918556 2
< 0.1%
3.09744309 1
< 0.1%
3.072561392 2
< 0.1%

T\!
Real number (ℝ)

High correlation  Missing 

Distinct8724
Distinct (%)85.9%
Missing868
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean-0.30478242
Minimum-4.8477841
Maximum4.1148502
Zeros0
Zeros (%)0.0%
Negative6104
Negative (%)55.4%
Memory size172.3 KiB
2025-08-29T15:51:37.850880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4.8477841
5-th percentile-2.293868
Q1-1.0797007
median-0.28711453
Q30.48216364
95-th percentile1.6204542
Maximum4.1148502
Range8.9626343
Interquartile range (IQR)1.5618644

Descriptive statistics

Standard deviation1.192125
Coefficient of variation (CV)-3.9113969
Kurtosis0.12040904
Mean-0.30478242
Median Absolute Deviation (MAD)0.78058791
Skewness-0.055060679
Sum-3095.9798
Variance1.4211621
MonotonicityNot monotonic
2025-08-29T15:51:37.993259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.209249488 2
 
< 0.1%
-0.3654479829 2
 
< 0.1%
-1.487104736 2
 
< 0.1%
-1.076064048 2
 
< 0.1%
-1.420124433 2
 
< 0.1%
1.141350657 2
 
< 0.1%
-0.2216544488 2
 
< 0.1%
-0.3217771551 2
 
< 0.1%
0.08346120887 2
 
< 0.1%
1.535469615 2
 
< 0.1%
Other values (8714) 10138
91.9%
(Missing) 868
 
7.9%
ValueCountFrequency (%)
-4.847784106 1
< 0.1%
-4.583709254 1
< 0.1%
-4.515345366 1
< 0.1%
-4.466578156 2
< 0.1%
-4.445362718 1
< 0.1%
-4.415302632 1
< 0.1%
-4.35623236 1
< 0.1%
-4.252478072 1
< 0.1%
-4.165724939 1
< 0.1%
-4.095679186 1
< 0.1%
ValueCountFrequency (%)
4.114850163 1
< 0.1%
3.877820873 1
< 0.1%
3.521231556 1
< 0.1%
3.519793481 1
< 0.1%
3.487439505 1
< 0.1%
3.469637788 1
< 0.1%
3.427293506 1
< 0.1%
3.411502681 2
< 0.1%
3.386531212 1
< 0.1%
3.31131708 1
< 0.1%

14W$Q
Real number (ℝ)

Distinct9275
Distinct (%)84.7%
Missing77
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean6.0030932
Minimum1.0013001
Maximum10.99901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size172.3 KiB
2025-08-29T15:51:38.140692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.0013001
5-th percentile1.5028464
Q13.4753775
median6.0219495
Q38.5271664
95-th percentile10.505278
Maximum10.99901
Range9.9977097
Interquartile range (IQR)5.0517889

Descriptive statistics

Standard deviation2.8937964
Coefficient of variation (CV)0.48205088
Kurtosis-1.2066856
Mean6.0030932
Median Absolute Deviation (MAD)2.5240224
Skewness-0.0044127635
Sum65727.867
Variance8.3740575
MonotonicityNot monotonic
2025-08-29T15:51:38.286329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.515374159 2
 
< 0.1%
8.818622815 2
 
< 0.1%
2.344915065 2
 
< 0.1%
5.202604632 2
 
< 0.1%
8.91796645 2
 
< 0.1%
6.881110899 2
 
< 0.1%
5.649246471 2
 
< 0.1%
2.64640847 2
 
< 0.1%
10.17608959 2
 
< 0.1%
4.795935927 2
 
< 0.1%
Other values (9265) 10929
99.1%
(Missing) 77
 
0.7%
ValueCountFrequency (%)
1.001300113 1
< 0.1%
1.00162936 2
< 0.1%
1.002116428 1
< 0.1%
1.002408745 1
< 0.1%
1.003110125 2
< 0.1%
1.003116858 1
< 0.1%
1.00387413 1
< 0.1%
1.00401544 1
< 0.1%
1.005278437 1
< 0.1%
1.005559309 1
< 0.1%
ValueCountFrequency (%)
10.99900977 1
< 0.1%
10.99649534 1
< 0.1%
10.99576396 1
< 0.1%
10.99460681 1
< 0.1%
10.99415626 1
< 0.1%
10.99335123 1
< 0.1%
10.99122941 1
< 0.1%
10.99103542 2
< 0.1%
10.99082586 2
< 0.1%
10.99045859 1
< 0.1%

ZZw3=!t
Real number (ℝ)

Distinct9288
Distinct (%)84.8%
Missing78
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean939.76571
Minimum126.3439
Maximum1759.0749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size172.3 KiB
2025-08-29T15:51:38.414722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum126.3439
5-th percentile209.3632
Q1529.66774
median938.03288
Q31351.3601
95-th percentile1672.6147
Maximum1759.0749
Range1632.731
Interquartile range (IQR)821.69232

Descriptive statistics

Standard deviation470.57791
Coefficient of variation (CV)0.50073961
Kurtosis-1.2054534
Mean939.76571
Median Absolute Deviation (MAD)410.96873
Skewness0.001052159
Sum10288555
Variance221443.57
MonotonicityNot monotonic
2025-08-29T15:51:38.568635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1388.793191 2
 
< 0.1%
210.6098201 2
 
< 0.1%
1518.217919 2
 
< 0.1%
697.2814583 2
 
< 0.1%
228.9962574 2
 
< 0.1%
1536.650855 2
 
< 0.1%
206.7199277 2
 
< 0.1%
1079.792972 2
 
< 0.1%
200.3963096 2
 
< 0.1%
507.6766382 2
 
< 0.1%
Other values (9278) 10928
99.1%
(Missing) 78
 
0.7%
ValueCountFrequency (%)
126.343897 1
< 0.1%
126.4968386 1
< 0.1%
127.2180366 1
< 0.1%
127.3332336 1
< 0.1%
127.8198813 1
< 0.1%
128.0234264 1
< 0.1%
128.1531821 2
< 0.1%
128.5446343 1
< 0.1%
128.6373766 1
< 0.1%
129.187308 1
< 0.1%
ValueCountFrequency (%)
1759.074941 1
< 0.1%
1758.569338 1
< 0.1%
1758.370063 1
< 0.1%
1758.290559 2
< 0.1%
1757.812729 1
< 0.1%
1757.565079 1
< 0.1%
1757.268316 1
< 0.1%
1756.97315 1
< 0.1%
1756.941318 1
< 0.1%
1756.940779 1
< 0.1%
Distinct8720
Distinct (%)86.0%
Missing892
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean-0.0062079059
Minimum-3.9405904
Maximum3.602415
Zeros0
Zeros (%)0.0%
Negative5023
Negative (%)45.6%
Memory size172.3 KiB

Quantile statistics

Minimum-3.9405904
5-th percentile-1.6695643
Q1-0.69015887
median0.0092115141
Q30.66627934
95-th percentile1.6123489
Maximum3.602415
Range7.5430054
Interquartile range (IQR)1.3564382

Descriptive statistics

Standard deviation1.0035469
Coefficient of variation (CV)-161.65627
Kurtosis0.017903108
Mean-0.0062079059
Median Absolute Deviation (MAD)0.6776433
Skewness-0.02321745
Sum-62.910918
Variance1.0071064
MonotonicityNot monotonic
ValueCountFrequency (%)
0.3017000089 2
 
< 0.1%
-0.5601984357 2
 
< 0.1%
1.298202151 2
 
< 0.1%
-1.93830017 2
 
< 0.1%
-0.2388121918 2
 
< 0.1%
-0.02358954829 2
 
< 0.1%
-1.194032504 2
 
< 0.1%
0.1495732481 2
 
< 0.1%
1.429519659 2
 
< 0.1%
0.1156542606 2
 
< 0.1%
Other values (8710) 10114
91.7%
(Missing) 892
 
8.1%
ValueCountFrequency (%)
-3.940590408 1
< 0.1%
-3.836655548 1
< 0.1%
-3.636742576 1
< 0.1%
-3.453354083 1
< 0.1%
-3.404400223 1
< 0.1%
-3.3755791 1
< 0.1%
-3.29549996 1
< 0.1%
-3.158881534 1
< 0.1%
-3.130453562 1
< 0.1%
-3.089850187 1
< 0.1%
ValueCountFrequency (%)
3.602415024 2
< 0.1%
3.406534084 1
< 0.1%
3.29430281 2
< 0.1%
3.220491732 1
< 0.1%
3.116185293 2
< 0.1%
3.080115404 1
< 0.1%
3.07686037 1
< 0.1%
3.071336702 1
< 0.1%
3.044860054 2
< 0.1%
2.973482727 1
< 0.1%

F'3Ku
Categorical

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size651.5 KiB
kiv
2898 
jut
1982 
tir
1935 
vel
1867 
qou
960 
Other values (10)
1384 

Length

Max length15
Median length3
Mean length3.5046254
Min length3

Characters and Unicode

Total characters38642
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowkiv
2nd rowMISSING
3rd rowqou
4th rowkiv
5th rowvel

Common Values

ValueCountFrequency (%)
kiv 2898
26.3%
jut 1982
18.0%
tir 1935
17.5%
vel 1867
16.9%
qou 960
 
8.7%
MISSING 884
 
8.0%
kivskin 155
 
1.4%
jutskin 123
 
1.1%
tirskin 88
 
0.8%
velskin 81
 
0.7%
Other values (5) 53
 
0.5%

Length

2025-08-29T15:51:39.005440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kiv 2898
26.3%
jut 1982
18.0%
tir 1935
17.5%
vel 1867
16.9%
qou 960
 
8.7%
missing 884
 
8.0%
kivskin 155
 
1.4%
jutskin 123
 
1.1%
tirskin 88
 
0.8%
velskin 81
 
0.7%
Other values (5) 53
 
0.5%

Most occurring characters

ValueCountFrequency (%)
i 5584
14.5%
v 5005
13.0%
t 4130
10.7%
k 3560
9.2%
u 3113
8.1%
j 2106
 
5.5%
r 2024
 
5.2%
e 1952
 
5.1%
l 1952
 
5.1%
S 1768
 
4.6%
Other values (8) 7448
19.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 38642
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 5584
14.5%
v 5005
13.0%
t 4130
10.7%
k 3560
9.2%
u 3113
8.1%
j 2106
 
5.5%
r 2024
 
5.2%
e 1952
 
5.1%
l 1952
 
5.1%
S 1768
 
4.6%
Other values (8) 7448
19.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 38642
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 5584
14.5%
v 5005
13.0%
t 4130
10.7%
k 3560
9.2%
u 3113
8.1%
j 2106
 
5.5%
r 2024
 
5.2%
e 1952
 
5.1%
l 1952
 
5.1%
S 1768
 
4.6%
Other values (8) 7448
19.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 38642
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 5584
14.5%
v 5005
13.0%
t 4130
10.7%
k 3560
9.2%
u 3113
8.1%
j 2106
 
5.5%
r 2024
 
5.2%
e 1952
 
5.1%
l 1952
 
5.1%
S 1768
 
4.6%
Other values (8) 7448
19.3%

~7*
Real number (ℝ)

Missing 

Distinct8696
Distinct (%)85.7%
Missing881
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean-0.007945038
Minimum-4.4629685
Maximum3.6028321
Zeros0
Zeros (%)0.0%
Negative5140
Negative (%)46.6%
Memory size172.3 KiB
2025-08-29T15:51:39.124112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4.4629685
5-th percentile-1.658078
Q1-0.68627914
median-0.022531414
Q30.67309133
95-th percentile1.657555
Maximum3.6028321
Range8.0658007
Interquartile range (IQR)1.3593705

Descriptive statistics

Standard deviation1.0026648
Coefficient of variation (CV)-126.20013
Kurtosis0.0067436788
Mean-0.007945038
Median Absolute Deviation (MAD)0.67862114
Skewness0.0062970495
Sum-80.602411
Variance1.0053368
MonotonicityNot monotonic
2025-08-29T15:51:39.280606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5023808851 2
 
< 0.1%
1.572869504 2
 
< 0.1%
0.139064586 2
 
< 0.1%
-0.2063708339 2
 
< 0.1%
0.2544294011 2
 
< 0.1%
-2.099451044 2
 
< 0.1%
-1.319733225 2
 
< 0.1%
-2.497025118 2
 
< 0.1%
0.8484436036 2
 
< 0.1%
-0.2080668974 2
 
< 0.1%
Other values (8686) 10125
91.8%
(Missing) 881
 
8.0%
ValueCountFrequency (%)
-4.462968527 1
< 0.1%
-3.794637439 1
< 0.1%
-3.793638423 1
< 0.1%
-3.715559456 2
< 0.1%
-3.462935081 1
< 0.1%
-3.394519446 1
< 0.1%
-3.307387279 1
< 0.1%
-3.150377083 1
< 0.1%
-3.131959295 1
< 0.1%
-3.121329603 2
< 0.1%
ValueCountFrequency (%)
3.602832136 1
< 0.1%
3.446212689 1
< 0.1%
3.431446494 1
< 0.1%
3.329855094 1
< 0.1%
3.192728081 1
< 0.1%
3.182048929 2
< 0.1%
3.157771283 1
< 0.1%
3.132326151 1
< 0.1%
3.123261575 1
< 0.1%
3.098299434 1
< 0.1%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size684.4 KiB
kristal
4007 
karbon
1906 
silikon
1858 
MISSING
1793 
tonga
952 

Length

Max length7
Median length7
Mean length6.5619445
Min length5

Characters and Unicode

Total characters72352
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMISSING
2nd rowkarbon
3rd rowkarbon
4th rowsilikon
5th rowtonga

Common Values

ValueCountFrequency (%)
kristal 4007
36.3%
karbon 1906
17.3%
silikon 1858
16.9%
MISSING 1793
16.3%
tonga 952
 
8.6%
ERROR 510
 
4.6%

Length

2025-08-29T15:51:39.420630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-29T15:51:39.525344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
kristal 4007
36.3%
karbon 1906
17.3%
silikon 1858
16.9%
missing 1793
16.3%
tonga 952
 
8.6%
error 510
 
4.6%

Most occurring characters

ValueCountFrequency (%)
k 7771
10.7%
i 7723
10.7%
a 6865
9.5%
r 5913
8.2%
s 5865
8.1%
l 5865
8.1%
t 4959
 
6.9%
o 4716
 
6.5%
n 4716
 
6.5%
S 3586
 
5.0%
Other values (9) 14373
19.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 72352
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
k 7771
10.7%
i 7723
10.7%
a 6865
9.5%
r 5913
8.2%
s 5865
8.1%
l 5865
8.1%
t 4959
 
6.9%
o 4716
 
6.5%
n 4716
 
6.5%
S 3586
 
5.0%
Other values (9) 14373
19.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 72352
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
k 7771
10.7%
i 7723
10.7%
a 6865
9.5%
r 5913
8.2%
s 5865
8.1%
l 5865
8.1%
t 4959
 
6.9%
o 4716
 
6.5%
n 4716
 
6.5%
S 3586
 
5.0%
Other values (9) 14373
19.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 72352
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
k 7771
10.7%
i 7723
10.7%
a 6865
9.5%
r 5913
8.2%
s 5865
8.1%
l 5865
8.1%
t 4959
 
6.9%
o 4716
 
6.5%
n 4716
 
6.5%
S 3586
 
5.0%
Other values (9) 14373
19.9%

9Z/5)2
Real number (ℝ)

Missing 

Distinct8724
Distinct (%)85.9%
Missing866
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean-0.010202995
Minimum-3.419906
Maximum4.4790843
Zeros0
Zeros (%)0.0%
Negative5133
Negative (%)46.6%
Memory size172.3 KiB
2025-08-29T15:51:39.663454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.419906
5-th percentile-1.6466378
Q1-0.69601791
median-0.010737283
Q30.67349743
95-th percentile1.6544877
Maximum4.4790843
Range7.8989902
Interquartile range (IQR)1.3695153

Descriptive statistics

Standard deviation1.003582
Coefficient of variation (CV)-98.361519
Kurtosis-0.00708993
Mean-0.010202995
Median Absolute Deviation (MAD)0.68470243
Skewness0.034788174
Sum-103.66242
Variance1.0071769
MonotonicityNot monotonic
2025-08-29T15:51:39.813521image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7718903752 2
 
< 0.1%
-0.7299613004 2
 
< 0.1%
-0.03400197949 2
 
< 0.1%
0.2315410688 2
 
< 0.1%
1.34671946 2
 
< 0.1%
1.758754539 2
 
< 0.1%
-0.9451115229 2
 
< 0.1%
-0.3724351543 2
 
< 0.1%
1.317837392 2
 
< 0.1%
0.2742150351 2
 
< 0.1%
Other values (8714) 10140
92.0%
(Missing) 866
 
7.9%
ValueCountFrequency (%)
-3.419905979 2
< 0.1%
-3.398328531 2
< 0.1%
-3.397310148 1
< 0.1%
-3.29556118 1
< 0.1%
-3.216960546 1
< 0.1%
-3.149023524 1
< 0.1%
-3.124361452 1
< 0.1%
-3.094289249 1
< 0.1%
-3.083977206 1
< 0.1%
-3.083226644 1
< 0.1%
ValueCountFrequency (%)
4.479084251 2
< 0.1%
3.605590684 1
< 0.1%
3.561787036 2
< 0.1%
3.438709198 1
< 0.1%
3.377382919 1
< 0.1%
3.286177739 1
< 0.1%
3.139113997 1
< 0.1%
3.042841572 1
< 0.1%
3.012173833 1
< 0.1%
2.991408248 1
< 0.1%

%IiL7w
Real number (ℝ)

Missing 

Distinct8726
Distinct (%)85.9%
Missing868
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean0.0031372475
Minimum-3.4311081
Maximum3.2597669
Zeros0
Zeros (%)0.0%
Negative5073
Negative (%)46.0%
Memory size172.3 KiB
2025-08-29T15:51:39.971877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.4311081
5-th percentile-1.6389014
Q1-0.6885715
median0.0013816494
Q30.68155943
95-th percentile1.6676852
Maximum3.2597669
Range6.690875
Interquartile range (IQR)1.3701309

Descriptive statistics

Standard deviation1.0071685
Coefficient of variation (CV)321.03571
Kurtosis-0.10738741
Mean0.0031372475
Median Absolute Deviation (MAD)0.68513219
Skewness0.014892834
Sum31.86816
Variance1.0143883
MonotonicityNot monotonic
2025-08-29T15:51:40.114462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1174131497 2
 
< 0.1%
0.04167142214 2
 
< 0.1%
0.04583845776 2
 
< 0.1%
-1.604380542 2
 
< 0.1%
-0.9512327667 2
 
< 0.1%
-0.1360452834 2
 
< 0.1%
-0.0691988078 2
 
< 0.1%
1.960935373 2
 
< 0.1%
-0.9489669736 2
 
< 0.1%
-0.8542797649 2
 
< 0.1%
Other values (8716) 10138
91.9%
(Missing) 868
 
7.9%
ValueCountFrequency (%)
-3.431108082 1
< 0.1%
-3.197353275 1
< 0.1%
-3.159047953 1
< 0.1%
-3.112996041 1
< 0.1%
-3.109236735 1
< 0.1%
-3.04583817 1
< 0.1%
-3.027927188 1
< 0.1%
-3.027511647 1
< 0.1%
-3.020801678 1
< 0.1%
-2.965955758 1
< 0.1%
ValueCountFrequency (%)
3.259766873 1
< 0.1%
3.215374196 2
< 0.1%
3.126100351 1
< 0.1%
3.112910201 1
< 0.1%
3.094106512 1
< 0.1%
3.029229667 1
< 0.1%
3.008086169 2
< 0.1%
3.001668638 2
< 0.1%
2.994536298 1
< 0.1%
2.990679405 2
< 0.1%

!;@Jw
Real number (ℝ)

Missing 

Distinct8698
Distinct (%)86.1%
Missing925
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean0.0051624329
Minimum-3.8170434
Maximum3.8297822
Zeros0
Zeros (%)0.0%
Negative5040
Negative (%)45.7%
Memory size172.3 KiB
2025-08-29T15:51:40.265634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.8170434
5-th percentile-1.6401271
Q1-0.66344824
median0.0023504095
Q30.67004363
95-th percentile1.6602992
Maximum3.8297822
Range7.6468256
Interquartile range (IQR)1.3334919

Descriptive statistics

Standard deviation0.99548556
Coefficient of variation (CV)192.83264
Kurtosis0.0063851725
Mean0.0051624329
Median Absolute Deviation (MAD)0.6661728
Skewness-0.018875273
Sum52.145735
Variance0.9909915
MonotonicityNot monotonic
2025-08-29T15:51:40.422191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.331746057 2
 
< 0.1%
1.531767113 2
 
< 0.1%
0.05213834627 2
 
< 0.1%
0.7062069983 2
 
< 0.1%
0.721317905 2
 
< 0.1%
-0.6507651801 2
 
< 0.1%
-0.002886949705 2
 
< 0.1%
0.5287843658 2
 
< 0.1%
0.40848897 2
 
< 0.1%
-0.06659420011 2
 
< 0.1%
Other values (8688) 10081
91.4%
(Missing) 925
 
8.4%
ValueCountFrequency (%)
-3.817043386 1
< 0.1%
-3.635200228 1
< 0.1%
-3.484091027 1
< 0.1%
-3.473046225 1
< 0.1%
-3.461859499 1
< 0.1%
-3.36044807 1
< 0.1%
-3.332517179 1
< 0.1%
-3.131605701 1
< 0.1%
-3.096833719 1
< 0.1%
-3.09417025 1
< 0.1%
ValueCountFrequency (%)
3.829782171 1
< 0.1%
3.691624501 1
< 0.1%
3.599811702 1
< 0.1%
3.354573389 1
< 0.1%
3.206177368 1
< 0.1%
3.080431364 1
< 0.1%
3.048195515 1
< 0.1%
3.026077873 1
< 0.1%
2.978737218 1
< 0.1%
2.963202596 2
< 0.1%

fPqsI
Real number (ℝ)

High correlation 

Distinct9290
Distinct (%)84.7%
Missing58
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean0.0055971454
Minimum-3.5709371
Maximum4.8525543
Zeros0
Zeros (%)0.0%
Negative5586
Negative (%)50.7%
Memory size172.3 KiB
2025-08-29T15:51:40.582402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.5709371
5-th percentile-1.5780932
Q1-0.67856357
median-0.023573503
Q30.66172021
95-th percentile1.6612073
Maximum4.8525543
Range8.4234914
Interquartile range (IQR)1.3402838

Descriptive statistics

Standard deviation0.99574399
Coefficient of variation (CV)177.90211
Kurtosis0.15381882
Mean0.0055971454
Median Absolute Deviation (MAD)0.66871794
Skewness0.16488788
Sum61.389491
Variance0.99150609
MonotonicityNot monotonic
2025-08-29T15:51:40.739281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1331443596 2
 
< 0.1%
1.80448099 2
 
< 0.1%
0.7250303355 2
 
< 0.1%
-0.4329494682 2
 
< 0.1%
-0.4748868054 2
 
< 0.1%
0.7510381114 2
 
< 0.1%
2.211038562 2
 
< 0.1%
-2.073030622 2
 
< 0.1%
0.9260012964 2
 
< 0.1%
1.869186376 2
 
< 0.1%
Other values (9280) 10948
99.3%
(Missing) 58
 
0.5%
ValueCountFrequency (%)
-3.570937054 2
< 0.1%
-3.449204867 1
< 0.1%
-3.378404164 1
< 0.1%
-3.295348115 1
< 0.1%
-3.217274826 1
< 0.1%
-3.126944239 1
< 0.1%
-3.12668434 1
< 0.1%
-3.109140943 2
< 0.1%
-3.103726527 1
< 0.1%
-3.057250787 1
< 0.1%
ValueCountFrequency (%)
4.852554307 2
< 0.1%
4.249562031 1
< 0.1%
4.034071943 1
< 0.1%
3.864025185 1
< 0.1%
3.723510088 1
< 0.1%
3.709178798 1
< 0.1%
3.695698976 2
< 0.1%
3.686973749 1
< 0.1%
3.514285021 1
< 0.1%
3.427714442 1
< 0.1%

ZVf
Real number (ℝ)

High correlation 

Distinct9285
Distinct (%)84.7%
Missing67
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean-0.19192979
Minimum-5.1239808
Maximum4.3715663
Zeros0
Zeros (%)0.0%
Negative6056
Negative (%)54.9%
Memory size172.3 KiB
2025-08-29T15:51:40.874819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-5.1239808
5-th percentile-2.0266142
Q1-0.92971425
median-0.16276133
Q30.53199605
95-th percentile1.5555669
Maximum4.3715663
Range9.4955471
Interquartile range (IQR)1.4617103

Descriptive statistics

Standard deviation1.0976114
Coefficient of variation (CV)-5.7188175
Kurtosis0.215442
Mean-0.19192979
Median Absolute Deviation (MAD)0.72917353
Skewness-0.019588784
Sum-2103.3585
Variance1.2047508
MonotonicityNot monotonic
2025-08-29T15:51:41.030388image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.758363587 2
 
< 0.1%
0.3429109418 2
 
< 0.1%
-0.8676723067 2
 
< 0.1%
-0.1257281863 2
 
< 0.1%
-0.6774202798 2
 
< 0.1%
-0.8280471684 2
 
< 0.1%
-1.849522027 2
 
< 0.1%
-0.8597628959 2
 
< 0.1%
-2.975373735 2
 
< 0.1%
-0.2041565227 2
 
< 0.1%
Other values (9275) 10939
99.2%
(Missing) 67
 
0.6%
ValueCountFrequency (%)
-5.123980821 1
< 0.1%
-4.664394894 1
< 0.1%
-4.519012141 1
< 0.1%
-4.395190111 1
< 0.1%
-4.238740327 1
< 0.1%
-4.068339957 1
< 0.1%
-3.954072356 1
< 0.1%
-3.85685168 1
< 0.1%
-3.742853309 1
< 0.1%
-3.701287765 1
< 0.1%
ValueCountFrequency (%)
4.371566255 2
< 0.1%
4.032669957 1
< 0.1%
4.027884108 1
< 0.1%
3.776174846 1
< 0.1%
3.728931582 1
< 0.1%
3.700069028 1
< 0.1%
3.534665612 1
< 0.1%
3.51724904 1
< 0.1%
3.512639873 1
< 0.1%
3.423658353 1
< 0.1%

i]7V
Real number (ℝ)

Missing 

Distinct8714
Distinct (%)85.7%
Missing859
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean0.019872806
Minimum-4.4656039
Maximum4.5621147
Zeros0
Zeros (%)0.0%
Negative4966
Negative (%)45.0%
Memory size172.3 KiB
2025-08-29T15:51:41.524495image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4.4656039
5-th percentile-1.630861
Q1-0.65143416
median0.033464753
Q30.70357369
95-th percentile1.6358315
Maximum4.5621147
Range9.0277186
Interquartile range (IQR)1.3550079

Descriptive statistics

Standard deviation0.99613869
Coefficient of variation (CV)50.125719
Kurtosis0.073544366
Mean0.019872806
Median Absolute Deviation (MAD)0.67649869
Skewness-0.045080356
Sum202.04682
Variance0.99229229
MonotonicityNot monotonic
2025-08-29T15:51:41.676999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.07422120057 2
 
< 0.1%
-2.030610266 2
 
< 0.1%
0.5837365255 2
 
< 0.1%
-0.1962555208 2
 
< 0.1%
-0.9980606273 2
 
< 0.1%
-0.05780402279 2
 
< 0.1%
1.333083551 2
 
< 0.1%
-0.8777472368 2
 
< 0.1%
-1.201643173 2
 
< 0.1%
0.9993656597 2
 
< 0.1%
Other values (8704) 10147
92.0%
(Missing) 859
 
7.8%
ValueCountFrequency (%)
-4.465603864 2
< 0.1%
-4.251363559 1
< 0.1%
-3.555779757 1
< 0.1%
-3.500754568 1
< 0.1%
-3.49201717 1
< 0.1%
-3.431873852 1
< 0.1%
-3.284468331 1
< 0.1%
-3.265188679 1
< 0.1%
-3.212953611 1
< 0.1%
-3.11892468 1
< 0.1%
ValueCountFrequency (%)
4.562114724 2
< 0.1%
3.784136334 1
< 0.1%
3.495113214 1
< 0.1%
3.411674554 1
< 0.1%
3.404205204 1
< 0.1%
3.397101892 1
< 0.1%
3.293343161 1
< 0.1%
3.071723075 2
< 0.1%
2.970935204 1
< 0.1%
2.962543666 1
< 0.1%
Distinct8771
Distinct (%)85.9%
Missing812
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean-0.0073576807
Minimum-4.1577339
Maximum3.37608
Zeros0
Zeros (%)0.0%
Negative5154
Negative (%)46.7%
Memory size172.3 KiB

Quantile statistics

Minimum-4.1577339
5-th percentile-1.6166711
Q1-0.67311301
median-0.011169109
Q30.65935505
95-th percentile1.6394775
Maximum3.37608
Range7.5338138
Interquartile range (IQR)1.3324681

Descriptive statistics

Standard deviation0.99061184
Coefficient of variation (CV)-134.63643
Kurtosis0.015251323
Mean-0.0073576807
Median Absolute Deviation (MAD)0.66489408
Skewness-0.021838584
Sum-75.151351
Variance0.98131181
MonotonicityNot monotonic
ValueCountFrequency (%)
-1.003855652 2
 
< 0.1%
-0.6797960381 2
 
< 0.1%
-1.423387034 2
 
< 0.1%
-0.06602198595 2
 
< 0.1%
-0.8672620671 2
 
< 0.1%
2.241231625 2
 
< 0.1%
0.004588477821 2
 
< 0.1%
0.08541839071 2
 
< 0.1%
-1.248586027 2
 
< 0.1%
0.425208664 2
 
< 0.1%
Other values (8761) 10194
92.5%
(Missing) 812
 
7.4%
ValueCountFrequency (%)
-4.157733877 1
< 0.1%
-3.814205284 1
< 0.1%
-3.802631228 1
< 0.1%
-3.719918449 1
< 0.1%
-3.668528691 2
< 0.1%
-3.627207696 1
< 0.1%
-3.426983012 1
< 0.1%
-3.2497644 1
< 0.1%
-3.235310769 1
< 0.1%
-3.183769318 1
< 0.1%
ValueCountFrequency (%)
3.37607997 1
< 0.1%
3.348207186 2
< 0.1%
3.195665492 1
< 0.1%
3.181083467 1
< 0.1%
3.150351506 1
< 0.1%
3.087988954 2
< 0.1%
3.086281133 1
< 0.1%
3.075660755 1
< 0.1%
3.063353482 1
< 0.1%
2.998734106 1
< 0.1%

Kj,
Real number (ℝ)

Distinct9271
Distinct (%)84.7%
Missing83
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean50.113416
Minimum0.01102318
Maximum99.997215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size172.3 KiB
2025-08-29T15:51:42.131454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.01102318
5-th percentile5.2910926
Q124.614074
median50.189077
Q374.693831
95-th percentile94.984607
Maximum99.997215
Range99.986192
Interquartile range (IQR)50.079757

Descriptive statistics

Standard deviation28.898472
Coefficient of variation (CV)0.57666139
Kurtosis-1.2103514
Mean50.113416
Median Absolute Deviation (MAD)25.108864
Skewness-0.0028238975
Sum548391.12
Variance835.12171
MonotonicityNot monotonic
2025-08-29T15:51:42.324117image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.82569154 2
 
< 0.1%
47.43430509 2
 
< 0.1%
82.13119089 2
 
< 0.1%
73.61812151 2
 
< 0.1%
72.1314187 2
 
< 0.1%
4.294673649 2
 
< 0.1%
49.88830556 2
 
< 0.1%
52.70797179 2
 
< 0.1%
20.04196206 2
 
< 0.1%
23.16319915 2
 
< 0.1%
Other values (9261) 10923
99.1%
(Missing) 83
 
0.8%
ValueCountFrequency (%)
0.01102318018 1
< 0.1%
0.01251387566 2
< 0.1%
0.01346930045 1
< 0.1%
0.01785148706 2
< 0.1%
0.02524544906 1
< 0.1%
0.03443679845 1
< 0.1%
0.04973150531 1
< 0.1%
0.09791336769 1
< 0.1%
0.1259835386 2
< 0.1%
0.1392844519 1
< 0.1%
ValueCountFrequency (%)
99.99721474 1
< 0.1%
99.97106298 1
< 0.1%
99.96723066 1
< 0.1%
99.95087957 1
< 0.1%
99.94283827 1
< 0.1%
99.92062974 1
< 0.1%
99.91495668 1
< 0.1%
99.9009516 1
< 0.1%
99.88448272 1
< 0.1%
99.88238112 1
< 0.1%

w-u:jN'qI
Real number (ℝ)

Missing 

Distinct8727
Distinct (%)85.7%
Missing844
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean0.49831038
Minimum0.00019486234
Maximum0.99997215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size172.3 KiB
2025-08-29T15:51:42.555210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.00019486234
5-th percentile0.050151351
Q10.24792589
median0.49344201
Q30.75065838
95-th percentile0.94743423
Maximum0.99997215
Range0.99977729
Interquartile range (IQR)0.5027325

Descriptive statistics

Standard deviation0.28932396
Coefficient of variation (CV)0.58060994
Kurtosis-1.2077714
Mean0.49831038
Median Absolute Deviation (MAD)0.25177214
Skewness0.0070536886
Sum5073.7963
Variance0.083708356
MonotonicityNot monotonic
2025-08-29T15:51:42.766088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07049179916 2
 
< 0.1%
0.7990315757 2
 
< 0.1%
0.05399273699 2
 
< 0.1%
0.4598766771 2
 
< 0.1%
0.793766807 2
 
< 0.1%
0.3253766891 2
 
< 0.1%
0.4655545926 2
 
< 0.1%
0.4644031997 2
 
< 0.1%
0.4906549025 2
 
< 0.1%
0.8025919848 2
 
< 0.1%
Other values (8717) 10162
92.2%
(Missing) 844
 
7.7%
ValueCountFrequency (%)
0.0001948623373 1
< 0.1%
0.0005099890159 1
< 0.1%
0.0009147521702 1
< 0.1%
0.001259835386 1
< 0.1%
0.001429962938 1
< 0.1%
0.001464993069 1
< 0.1%
0.00151975123 1
< 0.1%
0.001523893883 1
< 0.1%
0.001752864442 1
< 0.1%
0.0017889702 1
< 0.1%
ValueCountFrequency (%)
0.9999721474 1
< 0.1%
0.9999213027 2
< 0.1%
0.9999130424 1
< 0.1%
0.9998750991 1
< 0.1%
0.9996603159 1
< 0.1%
0.9995550521 1
< 0.1%
0.9994319757 1
< 0.1%
0.9992943271 1
< 0.1%
0.9992072989 1
< 0.1%
0.9990759552 1
< 0.1%

PZ8
Real number (ℝ)

Missing 

Distinct8689
Distinct (%)85.8%
Missing899
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0.49041152
Minimum7.8753802 × 10-5
Maximum0.99962322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size172.3 KiB
2025-08-29T15:51:42.982573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7.8753802 × 10-5
5-th percentile0.047884914
Q10.24059159
median0.48521164
Q30.73745158
95-th percentile0.94522883
Maximum0.99962322
Range0.99954446
Interquartile range (IQR)0.49685999

Descriptive statistics

Standard deviation0.28731648
Coefficient of variation (CV)0.58586812
Kurtosis-1.1921969
Mean0.49041152
Median Absolute Deviation (MAD)0.24866932
Skewness0.038432465
Sum4966.3975
Variance0.082550757
MonotonicityNot monotonic
2025-08-29T15:51:43.205334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3201916891 2
 
< 0.1%
0.8646777526 2
 
< 0.1%
0.3447869287 2
 
< 0.1%
0.1884453827 2
 
< 0.1%
0.9684107887 2
 
< 0.1%
0.3166213896 2
 
< 0.1%
0.6213502629 2
 
< 0.1%
0.8913650379 2
 
< 0.1%
0.2452005459 2
 
< 0.1%
0.4066557435 2
 
< 0.1%
Other values (8679) 10107
91.7%
(Missing) 899
 
8.2%
ValueCountFrequency (%)
7.875380168 × 10-51
< 0.1%
0.0002612529429 1
< 0.1%
0.0004102195823 1
< 0.1%
0.0004276967739 1
< 0.1%
0.0004373906813 1
< 0.1%
0.0005183205182 1
< 0.1%
0.0006281928926 2
< 0.1%
0.0007168587066 1
< 0.1%
0.000764191359 1
< 0.1%
0.001145131467 1
< 0.1%
ValueCountFrequency (%)
0.9996232162 1
< 0.1%
0.9992516519 1
< 0.1%
0.9991659329 2
< 0.1%
0.9990650705 1
< 0.1%
0.9989809416 1
< 0.1%
0.998885061 1
< 0.1%
0.9987969331 1
< 0.1%
0.9985495129 1
< 0.1%
0.998525113 1
< 0.1%
0.99838488 2
< 0.1%

jNhEum
Real number (ℝ)

Missing 

Distinct8674
Distinct (%)85.5%
Missing886
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean0.5018721
Minimum8.4322113 × 10-6
Maximum0.99910998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size172.3 KiB
2025-08-29T15:51:43.424397image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum8.4322113 × 10-6
5-th percentile0.052423349
Q10.25232982
median0.5037346
Q30.75180283
95-th percentile0.95178894
Maximum0.99910998
Range0.99910155
Interquartile range (IQR)0.499473

Descriptive statistics

Standard deviation0.2882509
Coefficient of variation (CV)0.57435131
Kurtosis-1.1927965
Mean0.5018721
Median Absolute Deviation (MAD)0.24968167
Skewness0.0016484708
Sum5088.9831
Variance0.08308858
MonotonicityNot monotonic
2025-08-29T15:51:43.637975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3573214881 2
 
< 0.1%
0.3678836251 2
 
< 0.1%
0.3518052121 2
 
< 0.1%
0.573641465 2
 
< 0.1%
0.6466404474 2
 
< 0.1%
0.3838744553 2
 
< 0.1%
0.04574631455 2
 
< 0.1%
0.3698435757 2
 
< 0.1%
0.5514770492 2
 
< 0.1%
0.3532435489 2
 
< 0.1%
Other values (8664) 10120
91.8%
(Missing) 886
 
8.0%
ValueCountFrequency (%)
8.432211304 × 10-62
< 0.1%
2.934996792 × 10-51
< 0.1%
0.0003116858404 2
< 0.1%
0.0004843002287 1
< 0.1%
0.0005657627252 1
< 0.1%
0.0005834173742 1
< 0.1%
0.000642717884 2
< 0.1%
0.0006565214593 1
< 0.1%
0.0007603968651 2
< 0.1%
0.0008327664666 1
< 0.1%
ValueCountFrequency (%)
0.9991099813 1
< 0.1%
0.9990995884 1
< 0.1%
0.9990810217 1
< 0.1%
0.9989289091 1
< 0.1%
0.9989046998 1
< 0.1%
0.9985223634 2
< 0.1%
0.9984842629 1
< 0.1%
0.9984462266 1
< 0.1%
0.9983725857 1
< 0.1%
0.9983076369 1
< 0.1%

]xq
Real number (ℝ)

Missing 

Distinct8726
Distinct (%)85.8%
Missing851
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean-0.019990513
Minimum-3.5718404
Maximum3.6569668
Zeros0
Zeros (%)0.0%
Negative5165
Negative (%)46.8%
Memory size172.3 KiB
2025-08-29T15:51:43.833011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3.5718404
5-th percentile-1.6599633
Q1-0.67506927
median-0.019772882
Q30.65850205
95-th percentile1.6207312
Maximum3.6569668
Range7.2288072
Interquartile range (IQR)1.3335713

Descriptive statistics

Standard deviation0.99523435
Coefficient of variation (CV)-49.785334
Kurtosis0.02729208
Mean-0.019990513
Median Absolute Deviation (MAD)0.66785184
Skewness-0.042273101
Sum-203.40347
Variance0.9904914
MonotonicityNot monotonic
2025-08-29T15:51:44.065133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.003037685 2
 
< 0.1%
1.613368528 2
 
< 0.1%
-0.1987488034 2
 
< 0.1%
-0.9430005825 2
 
< 0.1%
0.1815909005 2
 
< 0.1%
-0.4838862541 2
 
< 0.1%
-1.116656685 2
 
< 0.1%
-0.7890599235 2
 
< 0.1%
-0.8548179084 2
 
< 0.1%
-1.653667961 2
 
< 0.1%
Other values (8716) 10155
92.1%
(Missing) 851
 
7.7%
ValueCountFrequency (%)
-3.571840366 1
< 0.1%
-3.532092595 1
< 0.1%
-3.419905979 1
< 0.1%
-3.360524363 1
< 0.1%
-3.307899952 1
< 0.1%
-3.292877344 2
< 0.1%
-3.235515075 1
< 0.1%
-3.219201566 1
< 0.1%
-3.190191685 1
< 0.1%
-3.169306722 1
< 0.1%
ValueCountFrequency (%)
3.656966829 1
< 0.1%
3.607965889 1
< 0.1%
3.605590684 1
< 0.1%
3.377768241 1
< 0.1%
3.286177739 1
< 0.1%
3.25954477 1
< 0.1%
3.249912683 2
< 0.1%
3.144527394 1
< 0.1%
3.035493411 1
< 0.1%
2.976389812 1
< 0.1%

v0rt3X
Real number (ℝ)

High correlation  Missing 

Distinct8726
Distinct (%)85.9%
Missing865
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean0.49671925
Minimum-1.2703233
Maximum2.3646507
Zeros0
Zeros (%)0.0%
Negative2848
Negative (%)25.8%
Memory size172.3 KiB
2025-08-29T15:51:44.330181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.2703233
5-th percentile-0.94108883
Q1-0.068574283
median0.47805876
Q31.0808919
95-th percentile1.9346526
Maximum2.3646507
Range3.634974
Interquartile range (IQR)1.1494662

Descriptive statistics

Standard deviation0.87190494
Coefficient of variation (CV)1.7553275
Kurtosis-0.873083
Mean0.49671925
Median Absolute Deviation (MAD)0.57542395
Skewness0.0023291546
Sum5047.1643
Variance0.76021823
MonotonicityNot monotonic
2025-08-29T15:51:44.578345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.470720066 2
 
< 0.1%
-0.4250554821 2
 
< 0.1%
0.6952443995 2
 
< 0.1%
0.3187817107 2
 
< 0.1%
0.6358623114 2
 
< 0.1%
1.705509708 2
 
< 0.1%
1.925341961 2
 
< 0.1%
0.8580175833 2
 
< 0.1%
-0.7172216781 2
 
< 0.1%
-0.1427451216 2
 
< 0.1%
Other values (8716) 10141
92.0%
(Missing) 865
 
7.8%
ValueCountFrequency (%)
-1.270323319 1
< 0.1%
-1.238664801 1
< 0.1%
-1.22562579 1
< 0.1%
-1.217965364 1
< 0.1%
-1.209996786 2
< 0.1%
-1.202387012 1
< 0.1%
-1.201496268 1
< 0.1%
-1.200489428 1
< 0.1%
-1.198630816 2
< 0.1%
-1.19838617 1
< 0.1%
ValueCountFrequency (%)
2.364650679 1
< 0.1%
2.292190588 1
< 0.1%
2.224754976 1
< 0.1%
2.216797172 1
< 0.1%
2.212034778 1
< 0.1%
2.206065742 1
< 0.1%
2.201959082 1
< 0.1%
2.201758052 1
< 0.1%
2.201747053 1
< 0.1%
2.193610565 1
< 0.1%

^%a;
Real number (ℝ)

Missing 

Distinct8706
Distinct (%)85.8%
Missing885
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean0.0035698317
Minimum-4.295391
Maximum3.5486824
Zeros0
Zeros (%)0.0%
Negative5058
Negative (%)45.9%
Memory size172.3 KiB
2025-08-29T15:51:44.804189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4.295391
5-th percentile-1.6705773
Q1-0.69294323
median0.0031848495
Q30.68978109
95-th percentile1.6989206
Maximum3.5486824
Range7.8440734
Interquartile range (IQR)1.3827243

Descriptive statistics

Standard deviation1.0136024
Coefficient of variation (CV)283.93563
Kurtosis-0.054487956
Mean0.0035698317
Median Absolute Deviation (MAD)0.69027229
Skewness-0.0066302944
Sum36.201663
Variance1.0273898
MonotonicityNot monotonic
2025-08-29T15:51:45.045280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1238933322 2
 
< 0.1%
1.974652362 2
 
< 0.1%
0.5207764447 2
 
< 0.1%
-2.908142879 2
 
< 0.1%
-0.4097712938 2
 
< 0.1%
-0.9075875304 2
 
< 0.1%
-1.061492736 2
 
< 0.1%
-1.229973501 2
 
< 0.1%
0.194967706 2
 
< 0.1%
-0.7604777711 2
 
< 0.1%
Other values (8696) 10121
91.8%
(Missing) 885
 
8.0%
ValueCountFrequency (%)
-4.295390984 1
< 0.1%
-3.836655548 1
< 0.1%
-3.65730067 1
< 0.1%
-3.241513825 1
< 0.1%
-3.21121861 1
< 0.1%
-3.170425736 1
< 0.1%
-3.158881534 2
< 0.1%
-3.142251142 1
< 0.1%
-3.128302206 1
< 0.1%
-3.083464793 1
< 0.1%
ValueCountFrequency (%)
3.548682398 1
< 0.1%
3.536531655 1
< 0.1%
3.471549477 1
< 0.1%
3.270492357 1
< 0.1%
3.125031265 1
< 0.1%
3.07686037 1
< 0.1%
3.071336702 1
< 0.1%
3.061877641 1
< 0.1%
3.024093249 1
< 0.1%
2.954782561 1
< 0.1%

b1oRb13
Real number (ℝ)

High correlation  Missing 

Distinct8679
Distinct (%)85.7%
Missing900
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean-1.5054217
Minimum-10.299533
Maximum8.0204933
Zeros0
Zeros (%)0.0%
Negative6665
Negative (%)60.4%
Memory size172.3 KiB
2025-08-29T15:51:45.214056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-10.299533
5-th percentile-7.8647544
Q1-6.1295161
median-2.4306225
Q34.025141
95-th percentile5.6568991
Maximum8.0204933
Range18.320026
Interquartile range (IQR)10.154657

Descriptive statistics

Standard deviation4.8593797
Coefficient of variation (CV)-3.2279193
Kurtosis-1.3908803
Mean-1.5054217
Median Absolute Deviation (MAD)4.4401254
Skewness0.24178756
Sum-15243.9
Variance23.613571
MonotonicityNot monotonic
2025-08-29T15:51:45.377365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.884394003 2
 
< 0.1%
4.720163788 2
 
< 0.1%
3.111840063 2
 
< 0.1%
-1.156835077 2
 
< 0.1%
5.397355746 2
 
< 0.1%
-0.08248113671 2
 
< 0.1%
-5.940286805 2
 
< 0.1%
4.809166378 2
 
< 0.1%
6.086565006 2
 
< 0.1%
-3.536601175 2
 
< 0.1%
Other values (8669) 10106
91.7%
(Missing) 900
 
8.2%
ValueCountFrequency (%)
-10.29953317 2
< 0.1%
-10.20762255 1
< 0.1%
-10.08019712 1
< 0.1%
-9.83195886 2
< 0.1%
-9.81391727 2
< 0.1%
-9.682789128 1
< 0.1%
-9.660009525 2
< 0.1%
-9.645075581 2
< 0.1%
-9.610798624 1
< 0.1%
-9.602295772 1
< 0.1%
ValueCountFrequency (%)
8.020493325 1
< 0.1%
7.994452225 1
< 0.1%
7.935783296 1
< 0.1%
7.920178426 1
< 0.1%
7.832886122 1
< 0.1%
7.772313531 1
< 0.1%
7.772204987 1
< 0.1%
7.743080112 2
< 0.1%
7.649741032 1
< 0.1%
7.649085413 1
< 0.1%

v1rt3X
Real number (ℝ)

High correlation  Missing 

Distinct8735
Distinct (%)85.8%
Missing849
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean0.24263052
Minimum-0.80379305
Maximum1.3498118
Zeros0
Zeros (%)0.0%
Negative3570
Negative (%)32.4%
Memory size172.3 KiB
2025-08-29T15:51:45.541427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.80379305
5-th percentile-0.51704361
Q1-0.20624474
median0.23638255
Q30.6878979
95-th percentile1.014368
Maximum1.3498118
Range2.1536049
Interquartile range (IQR)0.89414264

Descriptive statistics

Standard deviation0.50418134
Coefficient of variation (CV)2.0779799
Kurtosis-1.1844116
Mean0.24263052
Median Absolute Deviation (MAD)0.44634528
Skewness0.023567129
Sum2469.2508
Variance0.25419882
MonotonicityNot monotonic
2025-08-29T15:51:45.686436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1606235584 2
 
< 0.1%
0.02557818961 2
 
< 0.1%
0.9483932564 2
 
< 0.1%
0.8313365771 2
 
< 0.1%
-0.2497040229 2
 
< 0.1%
0.5135238803 2
 
< 0.1%
-0.3677569241 2
 
< 0.1%
-0.4002470974 2
 
< 0.1%
0.3266363417 2
 
< 0.1%
-0.2932050342 2
 
< 0.1%
Other values (8725) 10157
92.1%
(Missing) 849
 
7.7%
ValueCountFrequency (%)
-0.8037930543 1
< 0.1%
-0.7918364589 2
< 0.1%
-0.7735850032 1
< 0.1%
-0.7501015034 1
< 0.1%
-0.7496226478 1
< 0.1%
-0.7391132765 2
< 0.1%
-0.7380805063 1
< 0.1%
-0.7361562464 2
< 0.1%
-0.7349482692 1
< 0.1%
-0.7163894289 1
< 0.1%
ValueCountFrequency (%)
1.34981183 1
< 0.1%
1.288398801 1
< 0.1%
1.271321965 2
< 0.1%
1.270633117 1
< 0.1%
1.269686749 2
< 0.1%
1.249898977 1
< 0.1%
1.229775529 1
< 0.1%
1.226384388 1
< 0.1%
1.222912787 1
< 0.1%
1.222549333 2
< 0.1%

0HU2N='U
Real number (ℝ)

Missing 

Distinct8719
Distinct (%)86.0%
Missing887
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean-0.020946916
Minimum-4.413886
Maximum3.561787
Zeros0
Zeros (%)0.0%
Negative5158
Negative (%)46.8%
Memory size172.3 KiB
2025-08-29T15:51:45.823901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4.413886
5-th percentile-1.6672936
Q1-0.68558903
median-0.021844975
Q30.6575801
95-th percentile1.611792
Maximum3.561787
Range7.975673
Interquartile range (IQR)1.3431691

Descriptive statistics

Standard deviation1.0036131
Coefficient of variation (CV)-47.912213
Kurtosis0.03511556
Mean-0.020946916
Median Absolute Deviation (MAD)0.67420232
Skewness-0.013747081
Sum-212.38078
Variance1.0072393
MonotonicityNot monotonic
2025-08-29T15:51:45.973883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01143819365 2
 
< 0.1%
0.1421788466 2
 
< 0.1%
-0.4856432752 2
 
< 0.1%
1.4412854 2
 
< 0.1%
0.8583956937 2
 
< 0.1%
-0.890317848 2
 
< 0.1%
-1.440569858 2
 
< 0.1%
0.3393421165 2
 
< 0.1%
-1.505238826 2
 
< 0.1%
-0.4632167273 2
 
< 0.1%
Other values (8709) 10119
91.8%
(Missing) 887
 
8.0%
ValueCountFrequency (%)
-4.413885966 1
< 0.1%
-3.869569092 1
< 0.1%
-3.534082484 1
< 0.1%
-3.470039909 1
< 0.1%
-3.416382057 1
< 0.1%
-3.299515199 1
< 0.1%
-3.149023524 2
< 0.1%
-3.144914044 1
< 0.1%
-3.124361452 1
< 0.1%
-3.106050197 1
< 0.1%
ValueCountFrequency (%)
3.561787036 2
< 0.1%
3.501516777 1
< 0.1%
3.438709198 1
< 0.1%
3.305172609 1
< 0.1%
3.246828503 2
< 0.1%
3.237925899 1
< 0.1%
3.155806432 1
< 0.1%
3.139113997 1
< 0.1%
3.125464239 1
< 0.1%
3.119004921 1
< 0.1%

ZrK
Real number (ℝ)

Missing 

Distinct8707
Distinct (%)85.8%
Missing875
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean-0.0043475843
Minimum-4.4656039
Maximum3.4462127
Zeros0
Zeros (%)0.0%
Negative5161
Negative (%)46.8%
Memory size172.3 KiB
2025-08-29T15:51:46.111056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4.4656039
5-th percentile-1.6283202
Q1-0.66395505
median-0.022521806
Q30.67463632
95-th percentile1.6321803
Maximum3.4462127
Range7.9118166
Interquartile range (IQR)1.3385914

Descriptive statistics

Standard deviation0.99348585
Coefficient of variation (CV)-228.51445
Kurtosis0.0042054686
Mean-0.0043475843
Median Absolute Deviation (MAD)0.67325199
Skewness-0.0058717545
Sum-44.132328
Variance0.98701413
MonotonicityNot monotonic
2025-08-29T15:51:46.271019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5441233504 2
 
< 0.1%
1.28381686 2
 
< 0.1%
-1.218786623 2
 
< 0.1%
0.3511654676 2
 
< 0.1%
2.245056609 2
 
< 0.1%
0.379874777 2
 
< 0.1%
1.418168245 2
 
< 0.1%
-0.5186250013 2
 
< 0.1%
1.526761902 2
 
< 0.1%
-0.8043615018 2
 
< 0.1%
Other values (8697) 10131
91.9%
(Missing) 875
 
7.9%
ValueCountFrequency (%)
-4.465603864 1
< 0.1%
-4.462968527 1
< 0.1%
-3.74477769 1
< 0.1%
-3.53616719 2
< 0.1%
-3.309978807 1
< 0.1%
-3.307387279 1
< 0.1%
-3.212953611 1
< 0.1%
-3.115965356 2
< 0.1%
-3.035657365 1
< 0.1%
-3.018915126 1
< 0.1%
ValueCountFrequency (%)
3.446212689 1
< 0.1%
3.293343161 1
< 0.1%
3.292272092 1
< 0.1%
3.157771283 1
< 0.1%
3.06689051 1
< 0.1%
3.053032677 2
< 0.1%
3.010409527 1
< 0.1%
2.970935204 1
< 0.1%
2.949094425 1
< 0.1%
2.945805773 1
< 0.1%

.6AvGp
Real number (ℝ)

High correlation  Missing 

Distinct8748
Distinct (%)85.8%
Missing831
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean0.021509953
Minimum-4.3089813
Maximum6.1808708
Zeros0
Zeros (%)0.0%
Negative5277
Negative (%)47.9%
Memory size172.3 KiB
2025-08-29T15:51:46.426858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4.3089813
5-th percentile-1.7967891
Q1-0.71178772
median-0.046946384
Q30.67532081
95-th percentile2.0689718
Maximum6.1808708
Range10.489852
Interquartile range (IQR)1.3871085

Descriptive statistics

Standard deviation1.1766336
Coefficient of variation (CV)54.70182
Kurtosis0.88755748
Mean0.021509953
Median Absolute Deviation (MAD)0.69076758
Skewness0.32802418
Sum219.29397
Variance1.3844665
MonotonicityNot monotonic
2025-08-29T15:51:46.579001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1619124512 2
 
< 0.1%
0.1840837169 2
 
< 0.1%
-1.179231536 2
 
< 0.1%
3.263070968 2
 
< 0.1%
0.9283524449 2
 
< 0.1%
0.4169697584 2
 
< 0.1%
-1.559819974 2
 
< 0.1%
0.2068971875 2
 
< 0.1%
1.488595563 2
 
< 0.1%
0.2320461539 2
 
< 0.1%
Other values (8738) 10175
92.3%
(Missing) 831
 
7.5%
ValueCountFrequency (%)
-4.308981259 1
< 0.1%
-4.177669252 1
< 0.1%
-4.085092126 1
< 0.1%
-4.033915226 1
< 0.1%
-3.995107267 1
< 0.1%
-3.952029904 1
< 0.1%
-3.887137743 1
< 0.1%
-3.878693461 2
< 0.1%
-3.840019945 2
< 0.1%
-3.782448082 1
< 0.1%
ValueCountFrequency (%)
6.180870827 1
< 0.1%
5.526138031 1
< 0.1%
4.962295939 1
< 0.1%
4.957113708 1
< 0.1%
4.902405785 1
< 0.1%
4.840053519 1
< 0.1%
4.822924127 1
< 0.1%
4.573590228 1
< 0.1%
4.469965191 1
< 0.1%
4.389680336 1
< 0.1%

b2oRb13
Real number (ℝ)

High correlation  Missing 

Distinct8726
Distinct (%)85.9%
Missing865
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean1.4379362
Minimum-10.606251
Maximum12.956617
Zeros0
Zeros (%)0.0%
Negative3413
Negative (%)31.0%
Memory size172.3 KiB
2025-08-29T15:51:46.716907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-10.606251
5-th percentile-7.9096657
Q1-6.1081661
median1.9968143
Q38.3348411
95-th percentile10.082143
Maximum12.956617
Range23.562868
Interquartile range (IQR)14.443007

Descriptive statistics

Standard deviation6.5498105
Coefficient of variation (CV)4.5550077
Kurtosis-1.4109236
Mean1.4379362
Median Absolute Deviation (MAD)6.9112724
Skewness-0.14933255
Sum14610.87
Variance42.900018
MonotonicityNot monotonic
2025-08-29T15:51:46.858224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.589491144 2
 
< 0.1%
3.854415282 2
 
< 0.1%
1.951826733 2
 
< 0.1%
-7.108644454 2
 
< 0.1%
1.809144242 2
 
< 0.1%
-5.095855334 2
 
< 0.1%
2.960495419 2
 
< 0.1%
6.625754666 2
 
< 0.1%
8.684118066 2
 
< 0.1%
-7.458776277 2
 
< 0.1%
Other values (8716) 10141
92.0%
(Missing) 865
 
7.8%
ValueCountFrequency (%)
-10.60625087 1
< 0.1%
-10.29970518 1
< 0.1%
-10.07746287 2
< 0.1%
-10.03141526 1
< 0.1%
-9.956305718 1
< 0.1%
-9.925980195 2
< 0.1%
-9.90657712 1
< 0.1%
-9.894550699 1
< 0.1%
-9.846065351 1
< 0.1%
-9.788252472 1
< 0.1%
ValueCountFrequency (%)
12.95661714 1
< 0.1%
12.13196726 2
< 0.1%
11.99414064 1
< 0.1%
11.88836883 1
< 0.1%
11.76751564 1
< 0.1%
11.70731979 1
< 0.1%
11.68644287 1
< 0.1%
11.61596924 1
< 0.1%
11.6021951 2
< 0.1%
11.57248541 1
< 0.1%

CORRUCYSTIC_DENSITY
Real number (ℝ)

Distinct9331
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449.48141
Minimum-29.687605
Maximum920.23055
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size172.3 KiB
2025-08-29T15:51:47.006988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-29.687605
5-th percentile166.84954
Q1284.33333
median450.03181
Q3613.50446
95-th percentile734.06904
Maximum920.23055
Range949.91816
Interquartile range (IQR)329.17114

Descriptive statistics

Standard deviation188.54694
Coefficient of variation (CV)0.41947662
Kurtosis-1.1742077
Mean449.48141
Median Absolute Deviation (MAD)164.43364
Skewness-0.0013595511
Sum4955982
Variance35549.949
MonotonicityNot monotonic
2025-08-29T15:51:47.149570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
527.9452341 2
 
< 0.1%
194.0316775 2
 
< 0.1%
708.6762296 2
 
< 0.1%
684.830204 2
 
< 0.1%
766.2623176 2
 
< 0.1%
571.0449539 2
 
< 0.1%
763.7817457 2
 
< 0.1%
169.3094167 2
 
< 0.1%
165.974376 2
 
< 0.1%
332.3751448 2
 
< 0.1%
Other values (9321) 11006
99.8%
ValueCountFrequency (%)
-29.68760546 2
< 0.1%
11.67354208 1
< 0.1%
19.57513935 1
< 0.1%
25.69442305 1
< 0.1%
30.48150778 1
< 0.1%
33.71152391 2
< 0.1%
35.52274313 2
< 0.1%
36.18074664 1
< 0.1%
37.02162462 2
< 0.1%
39.10371322 2
< 0.1%
ValueCountFrequency (%)
920.2305497 1
< 0.1%
906.3538919 1
< 0.1%
895.7326978 1
< 0.1%
892.0211734 2
< 0.1%
888.8055901 1
< 0.1%
882.6216423 2
< 0.1%
874.4914009 1
< 0.1%
872.2717146 2
< 0.1%
866.3859874 1
< 0.1%
865.3712346 1
< 0.1%

Interactions

2025-08-29T15:51:31.230093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:26.289808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:26.397701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:26.510567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:26.611782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:26.723315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:26.826558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:26.940270image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:27.046172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:27.160162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:27.281625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:27.386760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:27.495212image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:27.604093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:27.705657image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:27.806257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:27.929863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:28.044075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:28.161518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:28.286432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:28.399083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:28.520618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:28.869045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:28.974469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:29.081376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:29.196232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:29.328188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:29.496401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:29.661197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:29.813462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:29.966899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:30.125107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:30.288473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:30.465133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:30.612129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:30.762743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:30.919534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-29T15:51:31.069743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-08-29T15:51:47.339993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Z~x0<kvzo."A>.hp!>?64:@wnsk>RU"r&%)LTaWRbr1NgTSWmr2NgmaT_r@V9T\!14W$QZZw3=!t.o<mF'3Ku~7*MINDSPIKE_VERSION9Z/5)2%IiL7w!;@JwfPqsIZVfi]7V;<"<i(TKj,w-u:jN'qIPZ8jNhEum]xqv0rt3X^%a;b1oRb13v1rt3X0HU2N='UZrK.6AvGpb2oRb13CORRUCYSTIC_DENSITY
Z~x0<k1.0000.0290.0580.0450.0560.0550.0430.0650.0810.0440.0350.0350.0000.0710.0440.0320.0820.0320.0480.0000.0490.0670.0000.0740.0610.0320.0230.0590.0570.0530.0650.0000.0460.0370.0600.0520.0390.0590.0410.0450.047
vzo."0.0291.0000.0510.0350.0640.0290.0430.0000.0590.0000.0580.0300.0490.0740.0550.0450.0240.0670.0000.0280.0000.0380.0000.0170.0000.0460.0000.0770.0000.0230.0150.0190.0790.0450.0170.0220.0620.0470.0610.0670.053
A>.0.0580.0511.0000.0360.0420.0540.0520.0460.0730.0840.0540.0250.0700.0390.0420.0280.0470.0480.0480.0430.0350.0650.0650.0420.0430.0330.0550.0230.0610.0490.0580.0870.0560.0000.0690.0600.0510.0520.0000.0680.046
hp!0.0450.0350.0361.0000.0430.0400.0490.0440.0560.0290.0520.0290.0280.0000.0570.0350.0000.0610.0000.0460.0670.0600.0000.0540.0480.0200.0780.0550.0770.0490.0610.0380.0530.0740.0600.0000.0240.0000.0380.0000.042
>?64:0.0560.0640.0420.0431.0000.0870.0620.0590.0480.0180.0500.0190.0330.0400.0430.0510.0680.0380.0570.0420.0670.0360.0110.0520.0600.0490.0580.0730.0000.0700.0550.0470.0370.0540.0560.0670.0530.0470.0570.0590.022
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&%)LTaWRb0.0650.0000.0460.0440.0590.0840.0311.0000.0780.0710.0000.0280.0000.4720.0550.0500.0700.0310.0600.0040.0000.0260.0290.6210.9150.0720.0530.0000.0000.0690.0780.0270.0610.0500.0290.0610.0000.0100.8720.0830.000
r1Ng0.0810.0590.0730.0560.0480.0560.0500.0781.0000.0750.5090.0320.0280.0000.0120.0570.0670.0540.0640.0340.0380.0970.0580.1000.0150.0170.0230.0620.0580.0000.0830.0610.8050.0620.0490.8500.0400.0350.0530.0660.009
TSWm0.0440.0000.0840.0290.0180.0400.0400.0710.0751.0000.0420.0340.0610.0520.0000.0460.0490.0530.0590.0340.0580.0530.0550.0630.0000.0510.0510.0100.0620.0730.0680.0620.0000.0710.0290.0390.0830.0290.0560.0380.043
r2Ng0.0350.0580.0540.0520.0500.0660.0320.0000.5090.0421.0000.0330.0300.0430.0000.0470.0430.0640.0250.0320.0430.0370.0540.0360.0240.0370.0560.0530.0530.0470.0300.0490.8560.0000.0690.7200.0230.0000.0000.0940.049
maT_r0.0350.0300.0250.0290.0190.0520.0120.0280.0320.0340.0331.0000.0230.0340.0360.0400.0200.0380.0530.0180.0270.0390.0420.0360.0000.0430.0300.0310.0070.0000.0370.0000.0250.0290.0290.0320.0400.0000.0240.0000.011
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T\!0.0710.0740.0390.0000.0400.0190.0670.4720.0000.0520.0430.0340.0611.0000.0690.0310.0200.0000.0410.0300.0340.0290.0280.3020.4590.0360.0450.0400.0230.0000.0370.0000.0400.0510.0210.0000.0630.0390.5150.0340.050
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ZZw3=!t0.0320.0450.0280.0350.0510.0630.0350.0500.0570.0460.0470.0400.0460.0310.0541.0000.0670.0300.0820.0110.0290.0630.0660.0450.0600.0250.0360.0590.0410.0000.0480.0440.0650.0550.0530.0390.0570.0520.0500.0570.057
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Kj,0.0590.0770.0230.0550.0730.0570.0430.0000.0620.0100.0530.0310.0550.0400.0430.0590.0480.0000.0310.0340.0360.0410.0280.0290.0530.0510.0001.0000.0550.0410.0350.0000.0160.0550.0390.0590.0500.0340.0410.0610.024
w-u:jN'qI0.0570.0000.0610.0770.0000.0680.0570.0000.0580.0620.0530.0070.0650.0230.0850.0410.0640.0370.0390.0110.0360.0000.0220.0800.0470.0450.0510.0551.0000.0470.0290.0520.0000.0640.0200.0390.0000.0560.0310.0700.044
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jNhEum0.0650.0150.0580.0610.0550.0330.0000.0780.0830.0680.0300.0370.0180.0370.0490.0480.0780.0590.0530.0300.0610.0570.0610.0520.0740.0570.0000.0350.0290.0501.0000.0640.0540.0660.0580.0550.0640.0620.0510.0810.043
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b1oRb130.0600.0170.0690.0600.0560.0370.0250.0290.0490.0290.0690.0290.0710.0210.0400.0530.0510.0000.1030.0380.0950.0620.0580.0240.0360.0340.0840.0390.0200.0000.0580.0630.0700.0741.0000.0170.0380.0250.0360.8800.024
v1rt3X0.0520.0220.0600.0000.0670.0340.0560.0610.8500.0390.7200.0320.0670.0000.0520.0390.0110.0550.0450.0550.0500.0750.0610.0340.0430.0700.0530.0590.0390.0360.0550.0420.7700.0640.0171.0000.0460.0540.0200.0650.000
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ZrK0.0590.0470.0520.0000.0470.0000.0000.0100.0350.0290.0000.0000.0730.0390.0290.0520.0000.0490.0450.0110.0000.0580.0270.0300.0350.0000.1100.0340.0560.0590.0620.0430.0390.0840.0250.0540.1211.0000.0700.0490.049
.6AvGp0.0410.0610.0000.0380.0570.0680.0710.8720.0530.0560.0000.0240.0380.5150.0160.0500.0000.0430.0720.0000.0120.0480.0000.7380.8330.1080.0000.0410.0310.0650.0510.0300.0500.0580.0360.0200.0000.0701.0000.0620.024
b2oRb130.0450.0670.0680.0000.0590.0110.0570.0830.0660.0380.0940.0000.0520.0340.0330.0570.0550.0380.0240.0000.0430.0750.0370.0110.0520.0230.1380.0610.0700.0370.0810.0900.0570.0200.8800.0650.0530.0490.0621.0000.064
CORRUCYSTIC_DENSITY0.0470.0530.0460.0420.0220.0480.0530.0000.0090.0430.0490.0110.0310.0500.0550.0570.0450.0610.0510.0150.0320.0540.0220.0470.0000.0400.0000.0240.0440.0180.0430.0670.0080.0420.0240.0000.0870.0490.0240.0641.000
2025-08-29T15:51:47.693555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Z~x0<kvzo."A>.hp!>?64:@wnsk>RU"r&%)LTaWRbr1NgTSWmr2Ng@V9T\!14W$QZZw3=!t.o<m~7*9Z/5)2%IiL7w!;@JwfPqsIZVfi]7V;<"<i(TKj,w-u:jN'qIPZ8jNhEum]xqv0rt3X^%a;b1oRb13v1rt3X0HU2N='UZrK.6AvGpb2oRb13CORRUCYSTIC_DENSITY
Z~x0<k1.000-0.003-0.0190.004-0.012-0.0050.0110.0020.004-0.0030.0100.003-0.009-0.0010.0110.006-0.0020.0040.0030.0000.0050.004-0.001-0.0040.011-0.002-0.009-0.0020.009-0.0040.001-0.0140.009-0.0080.020-0.0100.007-0.007
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hp!0.0040.005-0.0001.0000.0070.0060.005-0.0080.005-0.0010.001-0.0040.0140.0000.0090.002-0.0040.0120.0140.001-0.002-0.0040.002-0.000-0.0060.0020.0000.016-0.0030.001-0.0050.0030.000-0.006-0.0020.0020.0080.001
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@wnsk>R-0.0050.006-0.0110.006-0.0061.0000.0090.004-0.0060.003-0.001-0.001-0.0020.0030.023-0.0070.0050.012-0.0030.005-0.0010.005-0.0000.000-0.001-0.005-0.0020.011-0.008-0.0000.002-0.008-0.0100.0080.000-0.003-0.0110.004
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jNhEum-0.0110.009-0.0110.0120.0030.0060.0080.006-0.004-0.0100.0150.0170.0010.0140.0220.0080.0160.001-0.027-0.0090.011-0.017-0.012-0.007-0.0020.0040.006-0.0190.005-0.0030.024-0.0041.0000.0170.008-0.023-0.0060.0060.0020.0110.027
maT_r0.0190.0180.0130.0110.0090.0180.0160.0120.0140.0090.0110.0240.0110.0050.0150.0140.0090.0000.0150.0150.0050.0000.0180.0000.0160.0000.0130.0130.0000.0160.0130.0200.0171.0000.0150.0150.0120.0150.0130.0030.024
r1Ng0.001-0.003-0.0040.004-0.008-0.0060.005-0.0030.027-0.008-0.010-0.0080.0360.0110.0200.0070.018-0.0070.0050.007-0.011-0.0030.0040.0030.0070.006-0.0080.0020.009-0.0020.0080.0060.0080.0151.000-0.0040.026-0.1140.0070.0060.005
r2Ng-0.0010.004-0.007-0.0050.005-0.001-0.015-0.0060.003-0.0050.010-0.002-0.005-0.0040.024-0.0080.017-0.008-0.0030.017-0.0090.0020.0130.0040.0150.0030.0070.020-0.0090.0080.0010.011-0.0230.015-0.0041.0000.1590.0080.009-0.0100.014
v0rt3X0.0100.0100.0040.001-0.007-0.001-0.0010.0160.0230.004-0.013-0.000-0.007-0.0020.016-0.0110.0180.0030.006-0.0100.019-0.0020.0100.012-0.005-0.0160.017-0.002-0.009-0.0160.002-0.007-0.0060.0120.0260.1591.000-0.4770.0190.007-0.014
v1rt3X0.012-0.0270.000-0.002-0.0050.011-0.024-0.001-0.0160.0000.013-0.015-0.0030.0050.0210.0270.029-0.007-0.0080.0030.0080.002-0.018-0.0120.0130.020-0.016-0.007-0.0030.0030.0000.0040.0060.015-0.1140.008-0.4771.000-0.010-0.0190.005
vzo."0.024-0.007-0.0030.0070.0040.0070.0060.0150.002-0.0050.0140.009-0.000-0.0080.025-0.0010.0140.006-0.0090.007-0.008-0.001-0.006-0.009-0.004-0.0010.020-0.004-0.0220.0040.008-0.0020.0020.0130.0070.0090.019-0.0101.000-0.005-0.014
w-u:jN'qI0.0070.015-0.003-0.011-0.0020.004-0.0100.0060.0080.001-0.011-0.007-0.0020.0090.015-0.0070.005-0.008-0.011-0.018-0.006-0.0100.0220.000-0.002-0.0150.0210.009-0.0080.0130.0030.0170.0110.0030.006-0.0100.007-0.019-0.0051.000-0.017
~7*-0.000-0.017-0.0130.009-0.0080.001-0.0020.010-0.0020.0040.0120.0080.005-0.0170.022-0.0030.023-0.0110.000-0.0050.012-0.0110.0090.007-0.004-0.017-0.0180.0160.0200.003-0.006-0.0070.0270.0240.0050.014-0.0140.005-0.014-0.0171.000

Missing values

2025-08-29T15:51:31.629756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-08-29T15:51:32.214352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-08-29T15:51:33.164279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Z~x0<kvzo."A>.hp!>?64:@wnsk>RU"r&%)LTaWRbr1NgTSWmr2NgmaT_r@V9T\!14W$QZZw3=!t.o<mF'3Ku~7*MINDSPIKE_VERSION9Z/5)2%IiL7w!;@JwfPqsIZVfi]7V;<"<i(TKj,w-u:jN'qIPZ8jNhEum]xqv0rt3X^%a;b1oRb13v1rt3X0HU2N='UZrK.6AvGpb2oRb13CORRUCYSTIC_DENSITY
LOCAL_IDENTIFIER
00.896836-0.9165780.632930-0.1866690.422301-0.9087600.355945-0.1162580.3889520.5813311.037324corro-0.0798602.0514138.159379564.8985111.034659kiv-0.602087MISSING-0.5680070.2820610.164679-0.6434820.7128450.738501-0.71149343.0922100.9270400.0917670.4527420.6473290.874539-0.146314-8.6586350.6721800.9405070.1172370.655947-7.553254521.443834
10.785652-0.0314390.265600NaN0.6361770.3245190.933113-0.975176-0.5290540.998348-0.689192corro-0.848429-0.5838462.2951491559.1084980.595029MISSING0.573128karbon-2.058825-1.785866-0.4129980.026357-1.681095-0.5574230.3011079.1486840.6425650.4212480.735663-0.359630NaN0.8174205.4262081.009423-0.9266980.9741931.0997511.097666373.696925
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100.8372140.5517730.492674-1.7908510.763408-0.6740960.595447-0.705271-0.1489900.1975560.574019satik cystNaN0.6255197.3430931284.0672920.040423vel-0.857212MISSING0.252696-0.274404-1.7100460.167254-0.6490330.1826520.96769714.7600950.6646870.3462020.2080910.4416050.8173450.714363-7.686252NaN-2.085476NaN0.721170-6.668960286.539351
Z~x0<kvzo."A>.hp!>?64:@wnsk>RU"r&%)LTaWRbr1NgTSWmr2NgmaT_r@V9T\!14W$QZZw3=!t.o<mF'3Ku~7*MINDSPIKE_VERSION9Z/5)2%IiL7w!;@JwfPqsIZVfi]7V;<"<i(TKj,w-u:jN'qIPZ8jNhEum]xqv0rt3X^%a;b1oRb13v1rt3X0HU2N='UZrK.6AvGpb2oRb13CORRUCYSTIC_DENSITY
LOCAL_IDENTIFIER
119890.0844451.0075390.9912281.4015000.990615-0.5659370.421937-0.289995-0.0668160.6698540.577619sfer-2.043880-0.4187433.367095911.9697181.998264kiv1.391502kristal-1.2088590.790551-0.2048030.610503NaN1.4914651.27727197.045601NaN0.1852810.7060320.1218120.351834-0.3811386.018737-0.269029-1.290473NaN-0.1100901.744022642.092563
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11995NaN-0.8379800.857335-0.9009210.305825-1.7599590.379284-0.431987-0.5341910.3774220.995775sfer-0.855249-1.8616789.165672225.3701090.552348qou0.965344tonga-1.012686-0.8575630.348812-0.308231-1.634882-1.101043NaN69.0259740.7809660.1345440.893655-0.2792190.481267NaN6.2463441.023857-0.428366NaN0.6671372.791238235.995368
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119970.061169-0.4838200.879857-0.1613850.914789-1.0509230.0512870.0197500.1735500.787889-0.640759corro-2.3941041.26618810.4415091338.4306850.411500vel0.890221tonga0.918826NaN0.4769560.1825730.7139850.2384160.25316613.7799770.0758780.1185320.527944-0.2490881.761554-1.1228043.745146-0.132992-0.812099-1.522920-0.1151612.058194206.700030
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119990.2848340.5068210.088109-2.3303360.619314NaN0.585977-0.6452380.1988010.044482-0.900999corroyi0.464466-1.8336311.4830041030.232994-0.685533qou-0.746203tongaNaN0.2069600.4369850.290644-1.777053-0.031866NaN28.4603690.9071980.6651840.3835910.547200-0.906718-1.108863-1.1581250.6448741.842947-1.2760940.4893579.900477674.972934

Duplicate rows

Most frequently occurring

Z~x0<kvzo."A>.hp!>?64:@wnsk>RU"r&%)LTaWRbr1NgTSWmr2NgmaT_r@V9T\!14W$QZZw3=!t.o<mF'3Ku~7*MINDSPIKE_VERSION9Z/5)2%IiL7w!;@JwfPqsIZVfi]7V;<"<i(TKj,w-u:jN'qIPZ8jNhEum]xqv0rt3X^%a;b1oRb13v1rt3X0HU2N='UZrK.6AvGpb2oRb13CORRUCYSTIC_DENSITY# duplicates
00.172085-0.5928800.6455151.5536900.154570-0.2088620.9294010.157425-0.661855NaN-0.139754corro0.9966390.8551221.192724937.332204-0.585078tir0.309084silikon0.2925930.657062-1.100390-0.4735420.5403120.4218541.24979224.5401440.1208190.3360540.1445340.9118920.9722500.232844-7.341495-0.596519-0.386137-0.3299110.179977-7.449305545.4947462
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30.740495-1.9821640.597461-0.3559100.7943092.0805830.691601-0.5065960.6121280.487558-0.096630corruskivi-1.7843341.1650921.169433508.0409810.261028tir0.295256kristal0.4724760.901018-0.6960840.8133480.0673720.7623351.12673646.9183040.5647890.3517570.591966-0.3349712.018660-0.8551915.4421220.4223200.092239-0.3599590.0451872.258313717.7167342
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80.9134160.6770360.888305-0.7550010.2027070.2517790.745339-0.7304430.9417330.730089-0.510531corroyi1.488995-2.7927605.824994804.981929NaNjut-0.394704kristal0.2394771.211639-1.3059091.196340-2.1600230.2547110.66723755.9836800.4721780.9469170.2250670.802043-0.883517-1.426924-6.0949390.262415-1.9891851.828642-0.086055-7.56412369.8111252